ACM International Conference on Information and Knowledge Management (2020)
From Data to Models and Back - 9th International Symposium, DataMod 2020, Virtual Event, October 20, 2020, Revised Selected Papers
Synthesis and Pruning as a Dynamic Compression Strategy for Efficient Deep Neural Networks
Alastair Finlinson
|
Sotiris Moschoyiannis
Exploring Graph-Based Neural Networks for Automatic Brain Tumor Segmentation
Camillo Saueressig
|
Adam Berkley
|
Elliot Kang
|
Reshma Munbodh
|
Ritambhara Singh
STDI-Net: Spatial-Temporal Network with Dynamic Interval Mapping for Bike Sharing Demand Prediction
Weiguo Pian
|
Yingbo Wu
|
Ziyi Kou
A Simulation-Based Approach for the Behavioural Analysis of Cancer Pathways
Agastya Silvina
|
Guilherme Redeker
|
Thais Webber
|
Juliana Bowles
Discovering the Impact of Notifications on Social Network Addiction
Lucia Nasti
|
Andrea Michienzi
|
Barbara Guidi
A Simulation Study on Demand Disruptions and Limited Resources for Healthcare Provision
Juliana Bowles
|
Ricardo M. Czekster
|
Guilherme Redeker
|
Thais Webber
A Formal Model for Emulating the Generation of Human Knowledge in Semantic Memory
Antonio Cerone
|
Graham Pluck
Analysis of COVID-19 Data with PRISM: Parameter Estimation and SIR Modelling
Paolo Milazzo
A Formal Model for the Simulation and Analysis of Early Biofilm Formation
Antonio Cerone
|
Enrico Marsili
Query Rewriting on Path Views Without Integrity Constraints
Julien Romero
|
Nicoleta Preda
|
Fabian M. Suchanek
Evaluating Trace Encoding Methods in Process Mining
Sylvio Barbon Junior
|
Paolo Ceravolo
|
Ernesto Damiani
|
Gabriel Marques Tavares
Semantic Annotations in Clinical Guidelines
Fahrurrozi Rahman
|
Juliana Bowles
Deriving Performance Measures of Workflow in Radiation Therapy from Real-Time Data
Reshma Munbodh
|
Kara L. Leonard
|
Eric E. Klein
Handshape Classification in a Reverse Dictionary of Sign Languages for the Deaf
Alikhan Abutalipov
|
Aigerim Janaliyeva
|
Medet Mukushev
|
Antonio Cerone
|
Anara Sandygulova
Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020), Galway, Ireland, October 19-23, 2020
#DemocratsAreDestroyingAmerica: Rumour Analysis on Twitter During COVID-19
Lin Tian
|
Xiuzhen Zhang
|
Jey Han Lau
An Adaptive Semantic Stream Reasoning Framework for Deep Neural Networks
Danh Le Phuoc
|
Thomas Eiter
An Anonymiser Tool for Sensitive Graph Data
Charini Nanayakkara
|
Peter Christen
|
Thilina Ranbaduge
Assessing the Impact of an Online Inquiry Teaching Intervention on Sixth Graders' Search Performance
Roberto I. González-Ibáñez
|
Daniel Gacitúa
|
Gonzalo Martínez-Ramírez
|
Jacqueline Köhler
|
Eero Sormunen
|
Carita Kiili
|
Mirjamaija Mikkilä-Erdmann
|
Norbert Erdmann
|
Marja Vauras
|
Paavo H. T. Leppänen
CNN based Parkinson's Disease Assessment using Empirical Mode Decomposition
Ayush Tripathi
|
Sunil Kumar Kopparapu
Challenges and Opportunities for Journalistic Knowledge Platforms
Marc Gallofré Ocaña
|
Andreas L. Opdahl
Challenges in Combating COVID-19 Infodemic - Data, Tools, and Ethics
Kaize Ding
|
Kai Shu
|
Yichuan Li
|
Amrita Bhattacharjee
|
Huan Liu
Characterizing COVID-19 Misinformation Communities Using a Novel Twitter Dataset
Shahan Ali Memon
|
Kathleen M. Carley
Classification of Important Segments in Educational Videos using Multimodal Features
Junaid Ahmed Ghauri
|
Sherzod Hakimov
|
Ralph Ewerth
Conversational Interfaces for Search As Learning
Sihang Qiu
|
Alessandro Bozzon
|
Ujwal Gadiraju
Creative Storytelling with Language Models and Knowledge Graphs
Xinran Yang
|
Ilaria Tiddi
Data Privacy in Journalistic Knowledge Platforms
Marc Gallofré Ocaña
|
Tareq Al-Moslmi
|
Andreas L. Opdahl
ESSTER at the EYRE 2020 Entity Summarization Task
Qingxia Liu
|
Gong Cheng
|
Yuzhong Qu
Embedding Partial Propagation Network for Fake News Early Detection
Amila Silva
|
Yi Han
|
Ling Luo
|
Shanika Karunasekera
|
Christopher Leckie
Epidemiology Inspired Framework for Fake News Mitigationin Social Networks
Bhavtosh Rath
|
Jaideep Srivastava
Evaluation Framework for Context-aware Speaker Recognition in Noisy Smart Living Environments
Gianni Fenu
|
Roberta Galici
|
Mirko Marras
Extracting Complex Information from Natural Language Text: A Survey
Mechket Emna Mahouachi
|
Fabian M. Suchanek
False News Classification and Dissemination: The case of the 2019 Indonesian Presidential Election
Rayan Suryadikara
|
Suzan Verberne
|
Frank W. Takes
Frailty Detection using Presence in a Room
Ramesh Balaji
|
Sio Keow Evelyn Tan
|
Srinivasa Raghavan Venkatachari
|
Hwee Pink Tan
Graph Analytics on Proximity Data to Fight Contagion
Snehasis Banerjee
|
Vivek Chandel
|
Avik Ghose
Guided-LIME: Structured Sampling based Hybrid Approach towards Explaining Blackbox Machine Learning Models
Amit Sangroya
|
Mouli Rastogi
|
C. Anantaram
|
Lovekesh Vig
How to Support Search Activity of Users Without Prior Domain Knowledge When They are Solving Learning Tasks?
Cheyenne Dosso
|
Aline Chevalier
|
Lynda Tamine
Improving Spare Part Search for Maintenance Services using Topic Modelling
Anastasiia Grishina
|
Milosh Stolikj
|
Qi Gao
|
Milan Petkovic
Information Retrieval from Hypermedia, with a Navigable Overview, at the End of Primary School
Sandrine Moschetti-Rome
|
Franck Amadieu
|
Cécile van de Leemput
Investigating Online Toxicity in Users Interactions with the Mainstream Media Channels on YouTube
Sultan Alshamrani
|
Mohammed Abuhamad
|
Ahmed Abusnaina
|
David Mohaisen
LatentVis: Investigating and Comparing Variational Auto-Encoders via Their Latent Space
Xiao Liu
|
Junpeng Wang
Learning with Temporal Knowledge Graphs
Yunpu Ma
|
Zhen Han
|
Volker Tresp
Leveraging a Domain Ontology in (Neural) Learning from Heterogeneous Data
Tomas Martin
|
Petko Valtchev
|
Abdoulaye Baniré Diallo
Lifting News into a Journalistic Knowledge Platform
Tareq Al-Moslmi
|
Marc Gallofré Ocaña
Matching the Clinical Reality: Accurate OCT-Based Diagnosis From Few Labels
Valentyn Melnychuk
|
Evgeniy Faerman
|
Ilja Manakov
|
Thomas Seidl
Modeling Knowledge Change Behaviors in Learning-related Tasks
Chang Liu
|
Xiaoxuan Song
|
Hanrui Liu
|
Nicholas J. Belkin
More is not Always Better: The Negative Impact of A-box Materialization on RDF2vec Knowledge Graph Embeddings
Andreea Iana
|
Heiko Paulheim
NLP for Student and Teacher: Concept for an AI based Information Literacy Tutoring System
Paul Libbrecht
|
Thierry Declerck
|
Tim Schlippe
|
Thomas Mandl
|
Daniel Schiffner
Neuro-symbolic Visual Reasoning for Multimedia Event Processing: Overview, Prospects and Challenges
Muhammad Jaleed Khan
|
Edward Curry
Now You See Me (CME): Concept-based Model Extraction
Dmitry Kazhdan
|
Botty Dimanov
|
Mateja Jamnik
|
Pietro Liò
|
Adrian Weller
On Analyzing the Household Energy Consumption Detection for Citizen Behavioral Analysis Carbon Footprint Awareness by Deep Residual Networks
Arijit Ukil
|
Antonio J. Jara
|
Leandro Marín
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms
Giorgio Visani
|
Enrico Bagli
|
Federico Chesani
Performance Prediction of Elementary School Students in Search Tasks
Roberto I. González-Ibáñez
|
Luz Chourio-Acevedo
|
María Escobar-Macaya
Simplifying Architecture Search for Graph Neural Network
Huan Zhao
|
Lanning Wei
|
Quanming Yao
Symbolic Vs Sub-symbolic AI Methods: Friends or Enemies?
Eleni Ilkou
|
Maria Koutraki
The Ebb and Flow of the COVID-19 Misinformation Themes
Thomas Marcoux
|
Esther Mead
|
Nitin Agarwal
The Other Side of the Same Coin: From Learning-centric Search Systems to Search-centric Learning Systems
Catherine L. Smith
|
Soo Young Rieh
Too Many Claims to Fact-Check: Prioritizing Political Claims Based on Check-Worthiness
Yavuz Selim Kartal
|
Mücahid Kutlu
|
Busra Guvenen
Visualizing and Quantifying Vocabulary Learning During Search
Nilavra Bhattacharya
|
Jacek Gwizdka
WalkingTime: Dynamic Graph Embedding Using Temporal-Topological Flows
David Bayani
Working Towards the Ideal Search History Interface
Tetiana Tolmachova
|
Eleni Ilkou
|
Luyan Xu
CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, Virtual Event, Ireland, October 19-23, 2020
Ceres: Harvesting Knowledge from the Semi-structured Web
Xin Luna Dong
Accelerating Discovery Science with an Internet of FAIR Data and Services
Michel Dumontier
Ensemble Block Co-clustering: A Unified Framework for Text Data
Séverine Affeldt
|
Lazhar Labiod
|
Mohamed Nadif
Learning to Personalize for Web Search Sessions
Saad Aloteibi
|
Stephen Clark
Optimization of Answer Set Programs for Consistent Query Answering by Means of First-Order Rewriting
Aziz Amezian El Khalfioui
|
Jonathan Joertz
|
Dorian Labeeuw
|
Gaëtan Staquet
|
Jef Wijsen
Spectral Relaxations and Fair Densest Subgraphs
Aris Anagnostopoulos
|
Luca Becchetti
|
Adriano Fazzone
|
Cristina Menghini
|
Chris Schwiegelshohn
The Impact of Negative Triple Generation Strategies and Anomalies on Knowledge Graph Completion
Iti Bansal
|
Sudhanshu Tiwari
|
Carlos R. Rivero
tdGraphEmbed: Temporal Dynamic Graph-Level Embedding
Moran Beladev
|
Lior Rokach
|
Gilad Katz
|
Ido Guy
|
Kira Radinsky
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Shuqing Bian
|
Xu Chen
|
Wayne Xin Zhao
|
Kun Zhou
|
Yupeng Hou
|
Yang Song
|
Tao Zhang
|
Ji-Rong Wen
Incremental and Parallel Computation of Structural Graph Summaries for Evolving Graphs
Till Blume
|
David Richerby
|
Ansgar Scherp
Do People and Neural Nets Pay Attention to the Same Words: Studying Eye-tracking Data for Non-factoid QA Evaluation
Valeria Bolotova
|
Vladislav Blinov
|
Yukun Zheng
|
W. Bruce Croft
|
Falk Scholer
|
Mark Sanderson
Fast and Scalable Outlier Detection with Sorted Hypercubes
Eugênio F. Cabral
|
Robson L. F. Cordeiro
SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis
Erik Cambria
|
Yang Li
|
Frank Z. Xing
|
Soujanya Poria
|
Kenneth Kwok
Laconic Image Classification: Human vs. Machine Performance
Javier Carrasco
|
Aidan Hogan
|
Jorge Pérez
Retrievability based Document Selection for Relevance Feedback with Automatically Generated Query Variants
Anirban Chakraborty
|
Debasis Ganguly
|
Owen Conlan
Learning Graph-Based Geographical Latent Representation for Point-of-Interest Recommendation
Buru Chang
|
Gwanghoon Jang
|
Seoyoon Kim
|
Jaewoo Kang
Continuous-Time Dynamic Graph Learning via Neural Interaction Processes
Xiaofu Chang
|
Xuqin Liu
|
Jianfeng Wen
|
Shuang Li
|
Yanming Fang
|
Le Song
|
Yuan Qi
TGCN: Tag Graph Convolutional Network for Tag-Aware Recommendation
Bo Chen
|
Wei Guo
|
Ruiming Tang
|
Xin Xin
|
Yue Ding
|
Xiuqiang He
|
Dong Wang
An Adaptive Embedding Framework for Heterogeneous Information Networks
Daoyuan Chen
|
Yaliang Li
|
Bolin Ding
|
Ying Shen
Improving End-to-End Sequential Recommendations with Intent-aware Diversification
Wanyu Chen
|
Pengjie Ren
|
Fei Cai
|
Fei Sun
|
Maarten de Rijke
Unsupervised Cyberbullying Detection via Time-Informed Gaussian Mixture Model
Lu Cheng
|
Kai Shu
|
Siqi Wu
|
Yasin N. Silva
|
Deborah L. Hall
|
Huan Liu
Product Quality Prediction with Convolutional Encoder-Decoder Architecture and Transfer Learning
Hao-Yi Chih
|
Yao-Chung Fan
|
Wen-Chih Peng
|
Hai-Yuan Kuo
Matching in Selective and Balanced Representation Space for Treatment Effects Estimation
Zhixuan Chu
|
Stephen L. Rathbun
|
Sheng Li
TPR: Text-aware Preference Ranking for Recommender Systems
Yu-Neng Chuang
|
Chih-Ming Chen
|
Chuan-Ju Wang
|
Ming-Feng Tsai
|
Yuan Fang
|
Ee-Peng Lim
Offline Evaluation by Maximum Similarity to an Ideal Ranking
Charles L. A. Clarke
|
Mark D. Smucker
|
Alexandra Vtyurina
EPNet: Learning to Exit with Flexible Multi-Branch Network
Xin Dai
|
Xiangnan Kong
|
Tian Guo
Cola-GNN: Cross-location Attention based Graph Neural Networks for Long-term ILI Prediction
Songgaojun Deng
|
Shusen Wang
|
Huzefa Rangwala
|
Lijing Wang
|
Yue Ning
Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce
Yang Deng
|
Wenxuan Zhang
|
Wai Lam
UPON: User Profile Transferring across Networks
Mengting Diao
|
Zhongbao Zhang
|
Sen Su
|
Shuai Gao
|
Huafeng Cao
Evaluating Stochastic Rankings with Expected Exposure
Fernando Diaz
|
Bhaskar Mitra
|
Michael D. Ekstrand
|
Asia J. Biega
|
Ben Carterette
Towards Plausible Differentially Private ADMM Based Distributed Machine Learning
Jiahao Ding
|
Jingyi Wang
|
Guannan Liang
|
Jinbo Bi
|
Miao Pan
Graph Prototypical Networks for Few-shot Learning on Attributed Networks
Kaize Ding
|
Jianling Wang
|
Jundong Li
|
Kai Shu
|
Chenghao Liu
|
Huan Liu
Neural Formatting for Spreadsheet Tables
Haoyu Dong
|
Jinyu Wang
|
Zhouyu Fu
|
Shi Han
|
Dongmei Zhang
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Yingtong Dou
|
Zhiwei Liu
|
Li Sun
|
Yutong Deng
|
Hao Peng
|
Philip S. Yu
Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder
Mengnan Du
|
Shiva K. Pentyala
|
Yuening Li
|
Xia Hu
Quality-Aware Ranking of Arguments
Lorik Dumani
|
Ralf Schenkel
RelSen: An Optimization-based Framework for Simultaneously Sensor Reliability Monitoring and Data Cleaning
Cheng Feng
|
Xiao Liang
|
Daniel Schneegass
|
Pengwei Tian
Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems
Maurizio Ferrari Dacrema
|
Federico Parroni
|
Paolo Cremonesi
|
Dietmar Jannach
Query-to-Session Matching: Do NOT Forget History and Future during Response Selection for Multi-Turn Dialogue Systems
Zhenxin Fu
|
Shaobo Cui
|
Feng Ji
|
Ji Zhang
|
Haiqing Chen
|
Dongyan Zhao
|
Rui Yan
Learning from Textual Data in Database Systems
Michael Günther
|
Philipp Oehme
|
Maik Thiele
|
Wolfgang Lehner
Rotate3D: Representing Relations as Rotations in Three-Dimensional Space for Knowledge Graph Embedding
Chang Gao
|
Chengjie Sun
|
Lili Shan
|
Lei Lin
|
Mingjiang Wang
Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation
Jingyue Gao
|
Yang Lin
|
Yasha Wang
|
Xiting Wang
|
Zhao Yang
|
Yuanduo He
|
Xu Chu
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs
Garima Gaur
|
Arnab Bhattacharya
|
Srikanta Bedathur
MICK: A Meta-Learning Framework for Few-shot Relation Classification with Small Training Data
Xiaoqing Geng
|
Xiwen Chen
|
Kenny Q. Zhu
|
Libin Shen
|
Yinggong Zhao
Knowledge Graph Embedding Preserving Soft Logical Regularity
Shu Guo
|
Lin Li
|
Zhen Hui
|
Lingshuai Meng
|
Bingnan Ma
|
Wei Liu
|
Lihong Wang
|
Haibin Zhai
|
Hong Zhang
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction
Zhichun Guo
|
Wenhao Yu
|
Chuxu Zhang
|
Meng Jiang
|
Nitesh V. Chawla
Modelling User Behavior Dynamics with Embeddings
Lei Han
|
Alessandro Checco
|
Djellel Eddine Difallah
|
Gianluca Demartini
|
Shazia Wasim Sadiq
Genetic Meta-Structure Search for Recommendation on Heterogeneous Information Network
Zhenyu Han
|
Fengli Xu
|
Jinghan Shi
|
Yu Shang
|
Haorui Ma
|
Pan Hui
|
Yong Li
Ranking Enhanced Dialogue Generation
Changying Hao
|
Liang Pang
|
Yanyan Lan
|
Fei Sun
|
Jiafeng Guo
|
Xueqi Cheng
Privacy-Preserving Classification with Secret Vector Machines
Valentin Hartmann
|
Konark Modi
|
Josep M. Pujol
|
Robert West
Learning to Selectively Update State Neurons in Recurrent Networks
Thomas Hartvigsen
|
Cansu Sen
|
Xiangnan Kong
|
Elke A. Rundensteiner
Hypergraph Random Walks, Laplacians, and Clustering
Koby Hayashi
|
Sinan G. Aksoy
|
Cheong Hee Park
|
Haesun Park
VN Network: Embedding Newly Emerging Entities with Virtual Neighbors
Yongquan He
|
Zihan Wang
|
Peng Zhang
|
Zhaopeng Tu
|
Zhaochun Ren
WMEgo: Willingness Maximization for Ego Network Data Extraction in Online Social Networks
Bay-Yuan Hsu
|
Chih-Ya Shen
|
Ming-Yi Chang
Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems
Kai Hua
|
Zhiyuan Feng
|
Chongyang Tao
|
Rui Yan
|
Lu Zhang
Image Captioning with Internal and External Knowledge
Feicheng Huang
|
Zhixin Li
|
Shengjia Chen
|
Canlong Zhang
|
Huifang Ma
GNNVis: Visualize Large-Scale Data by Learning a Graph Neural Network Representation
Yajun Huang
|
Jingbin Zhang
|
Yiyang Yang
|
Zhiguo Gong
|
Zhifeng Hao
Predicting Economic Growth by Region Embedding: A Multigraph Convolutional Network Approach
Bo Hui
|
Da Yan
|
Wei-Shinn Ku
|
Wenlu Wang
Sequential Recommender via Time-aware Attentive Memory Network
Wendi Ji
|
Keqiang Wang
|
Xiaoling Wang
|
Tingwei Chen
|
Alexandra I. Cristea
MARU: Meta-context Aware Random Walks for Heterogeneous Network Representation Learning
Jyun-Yu Jiang
|
Zeyu Li
|
Chelsea J.-T. Ju
|
Wei Wang
Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation
Bo Jin
|
Ke Cheng
|
Liang Zhang
|
Yanjie Fu
|
Minghao Yin
|
Lu Jiang
Social Factors in Closed-Network Content Consumption
Parisa Kaghazgaran
|
Maarten W. Bos
|
Leonardo Neves
|
Neil Shah
DE-RRD: A Knowledge Distillation Framework for Recommender System
SeongKu Kang
|
Junyoung Hwang
|
Wonbin Kweon
|
Hwanjo Yu
Collective Embedding with Feature Importance: A Unified Approach for Spatiotemporal Network Embedding
Dakshak Keerthi Chandra
|
Pengyang Wang
|
Jennifer L. Leopold
|
Yanjie Fu
AutoFeature: Searching for Feature Interactions and Their Architectures for Click-through Rate Prediction
Farhan Khawar
|
Xu Hang
|
Ruiming Tang
|
Bin Liu
|
Zhenguo Li
|
Xiuqiang He
Selecting Influential Features by a Learnable Content-Aware Linear Threshold Model
Ansh Khurana
|
Alvis Logins
|
Panagiotis Karras
Describing and Predicting Online Items with Reshare Cascades via Dual Mixture Self-exciting Processes
Quyu Kong
|
Marian-Andrei Rizoiu
|
Lexing Xie
Extracting N-ary Facts from Wikipedia Table Clusters
Benno Kruit
|
Peter A. Boncz
|
Jacopo Urbani
Live Multi-Streaming and Donation Recommendations via Coupled Donation-Response Tensor Factorization
Hsu-Chao Lai
|
Jui-Yi Tsai
|
Hong-Han Shuai
|
Jiun-Long Huang
|
Wang-Chien Lee
|
De-Nian Yang
MERL: Multi-View Edge Representation Learning in Social Networks
Yi-Yu Lai
|
Jennifer Neville
Towards Temporal Knowledge Graph Embeddings with Arbitrary Time Precision
Julien Leblay
|
Melisachew Wudage Chekol
|
Xin Liu
News Recommendation with Topic-Enriched Knowledge Graphs
Dongho Lee
|
Byungkook Oh
|
Seungmin Seo
|
Kyong-Ho Lee
Cross-sentence N-ary Relation Extraction using Entity Link and Discourse Relation
Sanghak Lee
|
Seungmin Seo
|
Byungkook Oh
|
Kyong-Ho Lee
|
Dong-Hoon Shin
|
Yeonsoo Lee
Knowledge Adaption for Demand Prediction based on Multi-task Memory Neural Network
Can Li
|
Lei Bai
|
Wei Liu
|
Lina Yao
|
S. Travis Waller
Learning with Noisy Partial Labels by Simultaneously Leveraging Global and Local Consistencies
Changchun Li
|
Ximing Li
|
Jihong Ouyang
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Junyi Li
|
Siqing Li
|
Wayne Xin Zhao
|
Gaole He
|
Zhicheng Wei
|
Nicholas Jing Yuan
|
Ji-Rong Wen
Seed-free Graph De-anonymiztiation with Adversarial Learning
Kaiyang Li
|
Guoming Lu
|
Guangchun Luo
|
Zhipeng Cai
Generate Neural Template Explanations for Recommendation
Lei Li
|
Yongfeng Zhang
|
Li Chen
A Topic and Concept Integrated Model for Thread Recommendation in Online Health Communities
Mingda Li
|
Weiting Gao
|
Yi Chen
Trapping Malicious Crawlers in Social Networks
Shiju Li
|
Chul-Ho Lee
|
Do Young Eun
Deep Time-Aware Item Evolution Network for Click-Through Rate Prediction
Xiang Li
|
Chao Wang
|
Bin Tong
|
Jiwei Tan
|
Xiaoyi Zeng
|
Tao Zhuang
Learning Better Representations for Neural Information Retrieval with Graph Information
Xiangsheng Li
|
Maarten de Rijke
|
Yiqun Liu
|
Jiaxin Mao
|
Weizhi Ma
|
Min Zhang
|
Shaoping Ma
Cooperative Multi-Agent Reinforcement Learning in Express System
Yexin Li
|
Yu Zheng
|
Qiang Yang
Meta-Learning for Neural Relation Classification with Distant Supervision
Zhenzhen Li
|
Jian-Yun Nie
|
Benyou Wang
|
Pan Du
|
Yuhan Zhang
|
Lixin Zou
|
Dongsheng Li
Aspect-invariant Sentiment Features Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis
Bin Liang
|
Rongdi Yin
|
Lin Gui
|
Jiachen Du
|
Yulan He
|
Ruifeng Xu
Attributed Network Embedding based on Mutual Information Estimation
Xiaomin Liang
|
Daifeng Li
|
Andrew D. Madden
STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation
Nicholas Lim
|
Bryan Hooi
|
See-Kiong Ng
|
Xueou Wang
|
Yong Liang Goh
|
Renrong Weng
|
Jagannadan Varadarajan
Attacking Recommender Systems with Augmented User Profiles
Chen Lin
|
Si Chen
|
Hui Li
|
Yanghua Xiao
|
Lianyun Li
|
Qian Yang
Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks
Haobing Liu
|
Yanmin Zhu
|
Tianzi Zang
|
Jiadi Yu
|
Haibin Cai
Fusing Parallel Social Contexts within Flexible-Order Proximity for Microblog Topic Detection
Hongyu Liu
|
Ruifang He
|
Haocheng Wang
|
Bo Wang
Cross Domain Recommendation via Bi-directional Transfer Graph Collaborative Filtering Networks
Meng Liu
|
Jianjun Li
|
Guohui Li
|
Peng Pan
Explainable Recommender Systems via Resolving Learning Representations
Ninghao Liu
|
Yong Ge
|
Li Li
|
Xia Hu
|
Rui Chen
|
Soo-Hyun Choi
Deep Spatio-Temporal Multiple Domain Fusion Network for Urban Anomalies Detection
Ruiqiang Liu
|
Shuai Zhao
|
Bo Cheng
|
Hao Yang
|
Haina Tang
|
Taoyu Li
Structural Relationship Representation Learning with Graph Embedding for Personalized Product Search
Shang Liu
|
Wanli Gu
|
Gao Cong
|
Fuzheng Zhang
Personalized Re-ranking with Item Relationships for E-commerce
Weiwen Liu
|
Qing Liu
|
Ruiming Tang
|
Junyang Chen
|
Xiuqiang He
|
Pheng-Ann Heng
An NVM SSD-Optimized Query Processing Framework
Xinyu Liu
|
Yu Pan
|
Yusen Li
|
Gang Wang
|
Xiaoguang Liu
Shapley Values and Meta-Explanations for Probabilistic Graphical Model Inference
Yifei Liu
|
Chao Chen
|
Yazheng Liu
|
Xi Zhang
|
Sihong Xie
Recommending Inferior Results: A General and Feature-Free Model for Spam Detection
Yuli Liu
Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks
Zemin Liu
|
Wentao Zhang
|
Yuan Fang
|
Xinming Zhang
|
Steven C. H. Hoi
Feature Fusion Based Subgraph Classification for Link Prediction
Zheyi Liu
|
Darong Lai
|
Chuanyou Li
|
Meng Wang
Fast Attributed Multiplex Heterogeneous Network Embedding
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Baode Fan
|
Junyu Dong
Dynamic Representation Learning for Large-Scale Attributed Networks
Zhijun Liu
|
Chao Huang
|
Yanwei Yu
|
Peng Song
|
Baode Fan
|
Junyu Dong
Dual Head-wise Coattention Network for Machine Comprehension with Multiple-Choice Questions
Zhuang Liu
|
Kaiyu Huang
|
Degen Huang
|
Zhuang Liu
|
Jun Zhao
Spatiotemporal Adaptive Gated Graph Convolution Network for Urban Traffic Flow Forecasting
Bin Lu
|
Xiaoying Gan
|
Haiming Jin
|
Luoyi Fu
|
Haisong Zhang
Probabilistic Dynamic Non-negative Group Factor Model for Multi-source Text Mining
Chien Lu
|
Jaakko Peltonen
|
Jyrki Nummenmaa
|
Kalervo Järvelin
Hierarchical Active Learning with Overlapping Regions
Zhipeng Luo
|
Milos Hauskrecht
Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification
Ning Ma
|
Jiajun Bu
|
Jieyu Yang
|
Zhen Zhang
|
Chengwei Yao
|
Zhi Yu
|
Sheng Zhou
|
Xifeng Yan
Feature Selection on Data Stream via Multi-Cluster Structure Preservation
Rui Ma
|
Yijie Wang
|
Li Cheng
PSTIE: Time Information Enhanced Personalized Search
Zhengyi Ma
|
Zhicheng Dou
|
Guanyue Bian
|
Ji-Rong Wen
Examining the Additivity of Top-k Query Processing Innovations
Joel M. Mackenzie
|
Alistair Moffat
Relational Reflection Entity Alignment
Xin Mao
|
Wenting Wang
|
Huimin Xu
|
Yuanbin Wu
|
Man Lan
CSNE: Conditional Signed Network Embedding
Alexandru Mara
|
Yoosof Mashayekhi
|
Jefrey Lijffijt
|
Tijl De Bie
Learning to Distract: A Hierarchical Multi-Decoder Network for Automated Generation of Long Distractors for Multiple-Choice Questions for Reading Comprehension
Kaushal Kumar Maurya
|
Maunendra Sankar Desarkar
"Keep it Simple, Lazy" - MetaLazy: A New MetaStrategy for Lazy Text Classification
Luiz Felipe Mendes
|
Marcos André Gonçalves
|
Washington Cunha
|
Leonardo Rocha
|
Thierson Couto Rosa
|
Wellington Martins
A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions
Luis Miralles-Pechuán
|
Fernando Jiménez
|
Hiram Ponce
|
Lourdes Martínez-Villaseñor
SWE2: SubWord Enriched and Significant Word Emphasized Framework for Hate Speech Detection
Guanyi Mou
|
Pengyi Ye
|
Kyumin Lee
Deep Generative Positive-Unlabeled Learning under Selection Bias
Byeonghu Na
|
Hyemi Kim
|
Kyungwoo Song
|
Weonyoung Joo
|
Yoon-Yeong Kim
|
Il-Chul Moon
FANG: Leveraging Social Context for Fake News Detection Using Graph Representation
Van-Hoang Nguyen
|
Kazunari Sugiyama
|
Preslav Nakov
|
Min-Yen Kan
Uncovering Semantic Bias in Neural Network Models Using a Knowledge Graph
Andriy Nikolov
|
Mathieu d'Aquin
STP-TrellisNets: Spatial-Temporal Parallel TrellisNets for Metro Station Passenger Flow Prediction
Junjie Ou
|
Jiahui Sun
|
Yichen Zhu
|
Haiming Jin
|
Yijuan Liu
|
Fan Zhang
|
Jianqiang Huang
|
Xinbing Wang
Star Graph Neural Networks for Session-based Recommendation
Zhiqiang Pan
|
Fei Cai
|
Wanyu Chen
|
Honghui Chen
|
Maarten de Rijke
RKT: Relation-Aware Self-Attention for Knowledge Tracing
Shalini Pandey
|
Jaideep Srivastava
ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed
Cheonbok Park
|
Chunggi Lee
|
Hyojin Bahng
|
Yunwon Tae
|
Seungmin Jin
|
Kihwan Kim
|
Sungahn Ko
|
Jaegul Choo
Minimal Edit-Based Diffs for Large Trees
Mateusz Pawlik
|
Nikolaus Augsten
Efficient Detection of Data Dependency Violations
Eduardo H. M. Pena
|
Edson Ramiro Lucas Filho
|
Eduardo C. de Almeida
|
Felix Naumann
EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters
Shalini Priya
|
Apoorva Upadhyaya
|
Manish Bhanu
|
Sourav Kumar Dandapat
|
Joydeep Chandra
G-CREWE: Graph CompREssion With Embedding for Network Alignment
Kyle Kai Qin
|
Flora D. Salim
|
Yongli Ren
|
Wei Shao
|
Mark Heimann
|
Danai Koutra
Diversifying Search Results using Self-Attention Network
Xubo Qin
|
Zhicheng Dou
|
Ji-Rong Wen
Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing
Chenxi Qiu
|
Anna Cinzia Squicciarini
|
Zhuozhao Li
|
Ce Pang
|
Li Yan
Hierarchical Query Graph Generation for Complex Question Answering over Knowledge Graph
Yunqi Qiu
|
Kun Zhang
|
Yuanzhuo Wang
|
Xiaolong Jin
|
Long Bai
|
Saiping Guan
|
Xueqi Cheng
Robust Irregular Tensor Factorization and Completion for Temporal Health Data Analysis
Yifei Ren
|
Jian Lou
|
Li Xiong
|
Joyce C. Ho
The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?
Kevin Roitero
|
Michael Soprano
|
Beatrice Portelli
|
Damiano Spina
|
Vincenzo Della Mea
|
Giuseppe Serra
|
Stefano Mizzaro
|
Gianluca Demartini
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Anurag Roy
|
Vinay Kumar Verma
|
Kripabandhu Ghosh
|
Saptarshi Ghosh
Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models
Benedek Rozemberczki
|
Rik Sarkar
A GAN-based Framework for Modeling Hashtag Popularity Dynamics Using Assistive Information
Avirup Saha
|
Niloy Ganguly
Index Obfuscation for Oblivious Document Retrieval in a Trusted Execution Environment
Jinjin Shao
|
Shiyu Ji
|
Alvin Oliver Glova
|
Yifan Qiao
|
Tao Yang
|
Tim Sherwood
Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing
Wei Shen
|
Xiaonan He
|
Chuheng Zhang
|
Qiang Ni
|
Wanchun Dou
|
Yan Wang
Neural Logic Reasoning
Shaoyun Shi
|
Hanxiong Chen
|
Weizhi Ma
|
Jiaxin Mao
|
Min Zhang
|
Yongfeng Zhang
METEOR: Learning Memory and Time Efficient Representations from Multi-modal Data Streams
Amila Silva
|
Shanika Karunasekera
|
Christopher Leckie
|
Ling Luo
Carpe Diem, Seize the Samples Uncertain "at the Moment" for Adaptive Batch Selection
Hwanjun Song
|
Minseok Kim
|
Sundong Kim
|
Jae-Gil Lee
Continual Domain Adaptation for Machine Reading Comprehension
Lixin Su
|
Jiafeng Guo
|
Ruqing Zhang
|
Yixing Fan
|
Yanyan Lan
|
Xueqi Cheng
Multi-modal Knowledge Graphs for Recommender Systems
Rui Sun
|
Xuezhi Cao
|
Yan Zhao
|
Junchen Wan
|
Kun Zhou
|
Fuzheng Zhang
|
Zhongyuan Wang
|
Kai Zheng
Anomaly Subgraph Detection with Feature Transfer
Ying Sun
|
Wenjun Wang
|
Nannan Wu
|
Wei Yu
|
Xue Chen
OHEA: Secure Data Aggregation in Wireless Sensor Networks against Untrusted Sensors
Li Tang
|
Haibo Hu
Investigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks
Xianfeng Tang
|
Huaxiu Yao
|
Yiwei Sun
|
Yiqi Wang
|
Jiliang Tang
|
Charu C. Aggarwal
|
Prasenjit Mitra
|
Suhang Wang
QSAN: A Quantum-probability based Signed Attention Network for Explainable False Information Detection
Tian Tian
|
Yudong Liu
|
Xiaoyu Yang
|
Yuefei Lyu
|
Xi Zhang
|
Binxing Fang
Quaternion-Based Self-Attentive Long Short-term User Preference Encoding for Recommendation
Thanh Tran
|
Di You
|
Kyumin Lee
E-Commerce Dispute Resolution Prediction
David Tsurel
|
Michael Doron
|
Alexander Nus
|
Arnon Dagan
|
Ido Guy
|
Dafna Shahaf
When Inverse Propensity Scoring does not Work: Affine Corrections for Unbiased Learning to Rank
Ali Vardasbi
|
Harrie Oosterhuis
|
Maarten de Rijke
A Graph Matching Attack on Privacy-Preserving Record Linkage
Anushka Vidanage
|
Peter Christen
|
Thilina Ranbaduge
|
Rainer Schnell
Semi-Supervised Max-Sum Clustering
Konstantin Voevodski
Efficient Sampling Algorithms for Approximate Temporal Motif Counting
Jingjing Wang
|
Yanhao Wang
|
Wenjun Jiang
|
Yuchen Li
|
Kian-Lee Tan
Streaming Graph Neural Networks via Continual Learning
Junshan Wang
|
Guojie Song
|
Yi Wu
|
Liang Wang
Soap: Soaking Capacity Optimization for Multi-Document Summarization
Kexiang Wang
|
Baobao Chang
|
Zhifang Sui
Mining Infrequent High-Quality Phrases from Domain-Specific Corpora
Li Wang
|
Wei Zhu
|
Sihang Jiang
|
Sheng Zhang
|
Keqiang Wang
|
Yuan Ni
|
Guotong Xie
|
Yanghua Xiao
Graph Few-shot Learning with Attribute Matching
Ning Wang
|
Minnan Luo
|
Kaize Ding
|
Lingling Zhang
|
Jundong Li
|
Qinghua Zheng
Multi-task Adversarial Spatial-Temporal Networks for Crowd Flow Prediction
Senzhang Wang
|
Hao Miao
|
Hao Chen
|
Zhiqiu Huang
Negative Confidence-Aware Weakly Supervised Binary Classification for Effective Review Helpfulness Classification
Xi Wang
|
Iadh Ounis
|
Craig MacDonald
Fast Graph Convolution Network Based Multi-label Image Recognition via Cross-modal Fusion
Yangtao Wang
|
Yanzhao Xie
|
Yu Liu
|
Ke Zhou
|
Xiaocui Li
Bringing Order to Network Embedding: A Relative Ranking based Approach
Yaojing Wang
|
Guosheng Pan
|
Yuan Yao
|
Hanghang Tong
|
Hongxia Yang
|
Feng Xu
|
Jian Lu
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning
Yaqing Wang
|
Fenglong Ma
|
Jing Gao
DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation
Yifan Wang
|
Suyao Tang
|
Yuntong Lei
|
Weiping Song
|
Sheng Wang
|
Ming Zhang
Succinct Adaptive Manifold Transfer
Pengfei Wei
|
Yiping Ke
|
Zhiqiang Xu
|
Tze-Yun Leong
Personalized Imputation on Wearable-Sensory Time Series via Knowledge Transfer
Xian Wu
|
Stephen M. Mattingly
|
Shayan Mirjafari
|
Chao Huang
|
Nitesh V. Chawla
Providing Direct Answers in Search Results: A Study of User Behavior
Zhijing Wu
|
Mark Sanderson
|
Berkant Barla Cambazoglu
|
W. Bruce Croft
|
Falk Scholer
CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation
Yikun Xian
|
Zuohui Fu
|
Handong Zhao
|
Yingqiang Ge
|
Xu Chen
|
Qiaoying Huang
|
Shijie Geng
|
Zhou Qin
|
Gerard de Melo
|
S. Muthukrishnan
|
Yongfeng Zhang
OPHiForest: Order Preserving Hashing Based Isolation Forest for Robust and Scalable Anomaly Detection
Haolong Xiang
|
Zoran Salcic
|
Wanchun Dou
|
Xiaolong Xu
|
Lianyong Qi
|
Xuyun Zhang
Deep Graph Convolutional Networks for Incident-Driven Traffic Speed Prediction
Qinge Xie
|
Tiancheng Guo
|
Yang Chen
|
Yu Xiao
|
Xin Wang
|
Ben Y. Zhao
Controllable Multi-Character Psychology-Oriented Story Generation
Feifei Xu
|
Xinpeng Wang
|
Yunpu Ma
|
Volker Tresp
|
Yuyi Wang
|
Shanlin Zhou
|
Haizhou Du
Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web
Silei Xu
|
Giovanni Campagna
|
Jian Li
|
Monica S. Lam
E-commerce Recommendation with Weighted Expected Utility
Zhichao Xu
|
Yi Han
|
Yongfeng Zhang
|
Qingyao Ai
NHP: Neural Hypergraph Link Prediction
Naganand Yadati
|
Vikram Nitin
|
Madhav Nimishakavi
|
Prateek Yadav
|
Anand Louis
|
Partha P. Talukdar
Fair Class Balancing: Enhancing Model Fairness without Observing Sensitive Attributes
Shen Yan
|
Hsien-Te Kao
|
Emilio Ferrara
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Long-Form Document Matching
Liu Yang
|
Mingyang Zhang
|
Cheng Li
|
Michael Bendersky
|
Marc Najork
NagE: Non-Abelian Group Embedding for Knowledge Graphs
Tong Yang
|
Long Sha
|
Pengyu Hong
LB-CGM: Latent Based Conditional Generative Model with Reliable Distribution Prediction
Yichen Yao
|
Guozheng Li
|
Yujie Chen
|
Rongqi Li
|
Yinzhi Zhou
|
Xiaodong Zhang
|
Haoyuan Hu
|
Yinghui Xu
LSAN: Modeling Long-term Dependencies and Short-term Correlations with Hierarchical Attention for Risk Prediction
Muchao Ye
|
Junyu Luo
|
Cao Xiao
|
Fenglong Ma
Logic Enhanced Commonsense Inference with Chain Transformer
Chenxi Yuan
|
Chun Yuan
|
Yang Bai
|
Ziran Li
Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering
Feng Yuan
|
Lina Yao
|
Boualem Benatallah
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning
Huichu Zhang
|
Chang Liu
|
Weinan Zhang
|
Guanjie Zheng
|
Yong Yu
TOMATO: A Topic-Wise Multi-Task Sparsity Model
Jason (Jiasheng) Zhang
|
Dongwon Lee
More Than One: A Cluster-Prototype Matching Framework for Zero-Shot Learning
Jing Zhang
|
Yangli-ao Geng
|
Qingyong Li
|
Chuan Shi
A Feature-Importance-Aware and Robust Aggregator for GCN
Li Zhang
|
Haiping Lu
Query Understanding via Intent Description Generation
Ruqing Zhang
|
Jiafeng Guo
|
Yixing Fan
|
Yanyan Lan
|
Xueqi Cheng
Generating Categories for Sets of Entities
Shuo Zhang
|
Krisztian Balog
|
Jamie Callan
CommDGI: Community Detection Oriented Deep Graph Infomax
Tianqi Zhang
|
Yun Xiong
|
Jiawei Zhang
|
Yao Zhang
|
Yizhu Jiao
|
Yangyong Zhu
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting
Xiyue Zhang
|
Chao Huang
|
Yong Xu
|
Lianghao Xia
Semi-Supervised Graph-to-Graph Translation
Tianxiang Zhao
|
Xianfeng Tang
|
Xiang Zhang
|
Suhang Wang
Error-Bounded Graph Anomaly Loss for GNNs
Tong Zhao
|
Chuchen Deng
|
Kaifeng Yu
|
Tianwen Jiang
|
Daheng Wang
|
Meng Jiang
Whole-Chain Recommendations
Xiangyu Zhao
|
Long Xia
|
Lixin Zou
|
Hui Liu
|
Dawei Yin
|
Jiliang Tang
S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou
|
Hui Wang
|
Wayne Xin Zhao
|
Yutao Zhu
|
Sirui Wang
|
Fuzheng Zhang
|
Zhongyuan Wang
|
Ji-Rong Wen
Top-k Graph Summarization on Hierarchical DAGs
Xuliang Zhu
|
Xin Huang
|
Byron Choi
|
Jianliang Xu
When Structure Meets Keywords: Cohesive Attributed Community Search
Yuanyuan Zhu
|
Jian He
|
Junhao Ye
|
Lu Qin
|
Xin Huang
|
Jeffrey Xu Yu
LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks
Zhihua Zhu
|
Xinxin Fan
|
Xiaokai Chu
|
Jianhui Huang
|
Jingping Bi
Corpus Bootstrapping for Assessment of the Properties of Effectiveness Measures
Justin Zobel
|
Lida Rashidi
Building Test Collections using Bandit Techniques: A Reproducibility Study
Bahadir Altun
|
Mücahid Kutlu
FDCM: Towards Balanced and Generalizable Concept-based Models for Effective Medical Ranking
Mohammad Bahrani
|
Thomas Roelleke
Application Performance Anomaly Detection with LSTM on Temporal Irregularities in Logs
Xavier Baril
|
Oihana Coustié
|
Josiane Mothe
|
Olivier Teste
Automatic Gaussian Process Model Retrieval for Big Data
Fabian Berns
|
Christian Beecks
Query Abandonment Prediction with Recurrent Neural Models of Mouse Cursor Movements
Lukas Brückner
|
Ioannis Arapakis
|
Luis A. Leiva
NumClaim: Investor's Fine-grained Claim Detection
Chung-Chi Chen
|
Hen-Hsen Huang
|
Hsin-Hsi Chen
Label-Aware Graph Convolutional Networks
Hao Chen
|
Yue Xu
|
Feiran Huang
|
Zengde Deng
|
Wenbing Huang
|
Senzhang Wang
|
Peng He
|
Zhoujun Li
Graph Unfolding Networks
Hao Chen
|
Wenbing Huang
|
Yue Xu
|
Fuchun Sun
|
Zhoujun Li
CONE-Align: Consistent Network Alignment with Proximity-Preserving Node Embedding
Xiyuan Chen
|
Mark Heimann
|
Fatemeh Vahedian
|
Danai Koutra
Generative Adversarial Attributed Network Anomaly Detection
Zhenxing Chen
|
Bo Liu
|
Meiqing Wang
|
Peng Dai
|
Jun Lv
|
Liefeng Bo
Joint Estimation of User And Publisher Credibility for Fake News Detection
Rajdipa Chowdhury
|
Sriram Srinivasan
|
Lise Getoor
Learning Discriminative Virtual Sequences for Time Series Classification
Abhilash Dorle
|
Fangyu Li
|
Wenzhan Song
|
Sheng Li
DECWA: Density-Based Clustering using Wasserstein Distance
Nabil El Malki
|
Robin Cugny
|
Olivier Teste
|
Franck Ravat
Why is That a Background Article: A Qualitative Analysis of Relevance for News Background Linking
Marwa Essam
|
Tamer Elsayed
Hybrid Dynamic Pruning for Efficient and Effective Query Processing
Wenxiu Fang
|
Trent G. Marbach
|
Gang Wang
|
Xiaoguang Liu
Sample Optimization For Display Advertising
Hongliang Fei
|
Shulong Tan
|
Pengju Guo
|
Wenbo Zhang
|
Hongfang Zhang
|
Ping Li
A Reinforced Semi-supervised Neural Network for Helpful Review Identification
Yue Feng
|
Miao Fan
|
Mingming Sun
|
Ping Li
A View-Adversarial Framework for Multi-View Network Embedding
Dongqi Fu
|
Zhe Xu
|
Bo Li
|
Hanghang Tong
|
Jingrui He
Can Adversarial Weight Perturbations Inject Neural Backdoors
Siddhant Garg
|
Adarsh Kumar
|
Vibhor Goel
|
Yingyu Liang
Estimating Topic Difficulty Using Normalized Discounted Cumulated Gain
Lukas Gienapp
|
Benno Stein
|
Matthias Hagen
|
Martin Potthast
The Impact of Negative Relevance Judgments on NDCG
Lukas Gienapp
|
Maik Fröbe
|
Matthias Hagen
|
Martin Potthast
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots
Jia-Chen Gu
|
Tianda Li
|
Quan Liu
|
Zhen-Hua Ling
|
Zhiming Su
|
Si Wei
|
Xiaodan Zhu
Subsampled Randomized Hadamard Transform for Regression of Dynamic Graphs
Mostafa Haghir Chehreghani
Learning to Form Skill-based Teams of Experts
Radin Hamidi Rad
|
Hossein Fani
|
Mehdi Kargar
|
Jaroslaw Szlichta
|
Ebrahim Bagheri
GAEAT: Graph Auto-Encoder Attention Networks for Knowledge Graph Completion
Yanfei Han
|
Quan Fang
|
Jun Hu
|
Shengsheng Qian
|
Changsheng Xu
Learning to Re-Rank with Contextualized Stopwords
Sebastian Hofstätter
|
Aldo Lipani
|
Markus Zlabinger
|
Allan Hanbury
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation
Hailin Hu
|
MingJian Tang
|
Chengcheng Bai
Homogenization with Explicit Semantics Preservation for Heterogeneous Information Network
Tiancheng Huang
|
Zifeng Zhuang
|
Shanshan Zhang
|
Donglin Wang
DistilSum: : Distilling the Knowledge for Extractive Summarization
Ruipeng Jia
|
Yanan Cao
|
Haichao Shi
|
Fang Fang
|
Yanbing Liu
|
Jianlong Tan
T-REX: A Topic-Aware Relation Extraction Model
Woohwan Jung
|
Kyuseok Shim
CR-Graph: Community Reinforcement for Accurate Community Detection
Yoonsuk Kang
|
Jun Seok Lee
|
Won-Yong Shin
|
Sang-Wook Kim
What Rankers Can be Statistically Distinguished in Multileaved Comparisons?
Makoto P. Kato
|
Akiomi Nishida
|
Tomohiro Manabe
|
Sumio Fujita
|
Takehiro Yamamoto
A Synopses Data Engine for Interactive Extreme-Scale Analytics
Antonis Kontaxakis
|
Nikos Giatrakos
|
Antonios Deligiannakis
NASE: : Learning Knowledge Graph Embedding for Link Prediction via Neural Architecture Search
Xiaoyu Kou
|
Bingfeng Luo
|
Huang Hu
|
Yan Zhang
Ranking Clarification Questions via Natural Language Inference
Vaibhav Kumar
|
Vikas Raunak
|
Jamie Callan
MetaTPOT: Enhancing A Tree-based Pipeline Optimization Tool Using Meta-Learning
Doron Laadan
|
Roman Vainshtein
|
Yarden Curiel
|
Gilad Katz
|
Lior Rokach
Rethinking Operators Placement of Stream Data Application in the Edge
Thomas Lambert
|
David Guyon
|
Shadi Ibrahim
An Index Advisor Using Deep Reinforcement Learning
Hai Lan
|
Zhifeng Bao
|
Yuwei Peng
Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision
Jae-woong Lee
|
Young-In Song
|
Deokmin Haam
|
Sanghoon Lee
|
Woo-Sik Choi
|
Jongwuk Lee
Are Negative Links Really Beneficial to Network Embedding?: In-Depth Analysis and Interesting Results
Yeon-Chang Lee
|
Nayoun Seo
|
Sang-Wook Kim
Non-local Self-attentive Autoencoder for Genetic Functionality Prediction
Yun Li
|
Zhe Liu
|
Lina Yao
|
Zihuai He
Recursive Balanced k-Subset Sum Partition for Rule-constrained Resource Allocation
Zhuo Li
|
Jiannong Cao
|
Zhongyu Yao
|
Wengen Li
|
Yu Yang
|
Jia Wang
Alike and Unlike: Resolving Class Imbalance Problem in Financial Credit Risk Assessment
Yang Liu
|
Xiang Ao
|
Qiwei Zhong
|
Jinghua Feng
|
Jiayu Tang
|
Qing He
Active Query of Private Demographic Data for Learning Fair Models
Yijun Liu
|
Chao Lan
Neural Relation Extraction on Wikipedia Tables for Augmenting Knowledge Graphs
Erin MacDonald
|
Denilson Barbosa
Fairness-Aware Learning with Prejudice Free Representations
Ramanujam Madhavan
|
Mohit Wadhwa
A Comparison of Top-k Threshold Estimation Techniques for Disjunctive Query Processing
Antonio Mallia
|
Michal Siedlaczek
|
Mengyang Sun
|
Torsten Suel
Feedback Loop and Bias Amplification in Recommender Systems
Masoud Mansoury
|
Himan Abdollahpouri
|
Mykola Pechenizkiy
|
Bamshad Mobasher
|
Robin Burke
Diversifying Top-k Point-of-Interest Queries via Collective Social Reach
Stella Maropaki
|
Sean Chester
|
Christos Doulkeridis
|
Kjetil Nørvåg
Transformer Models for Recommending Related Questions in Web Search
Rajarshee Mitra
|
Manish Gupta
|
Sandipan Dandapat
Evaluating the Impact of Knowledge Graph Context on Entity Disambiguation Models
Isaiah Onando Mulang'
|
Kuldeep Singh
|
Chaitali Prabhu
|
Abhishek Nadgeri
|
Johannes Hoffart
|
Jens Lehmann
Deep Metric Learning Based on Rank-sensitive Optimization of Top-k Precision
Naoki Muramoto
|
Hai-Tao Yu
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce
Xichuan Niu
|
Bofang Li
|
Chenliang Li
|
Rong Xiao
|
Haochuan Sun
|
Honggang Wang
|
Hongbo Deng
|
Zhenzhong Chen
A Reproducibility Study of Deep and Surface Machine Learning Methods for Human-related Trajectory Prediction
Bardh Prenkaj
|
Paola Velardi
|
Damiano Distante
|
Stefano Faralli
CGTR: Convolution Graph Topology Representation for Document Ranking
Yuanyuan Qi
|
Jiayue Zhang
|
Yansong Liu
|
Weiran Xu
|
Jun Guo
Representative Negative Instance Generation for Online Ad Targeting
Yuhan Quan
|
Jingtao Ding
|
Depeng Jin
|
Jianbo Yang
|
Xing Zhou
|
Yong Li
Training Sensitivity in Graph Isomorphism Network
Md. Khaledur Rahman
Securing Bloom Filters for Privacy-preserving Record Linkage
Thilina Ranbaduge
|
Rainer Schnell
Product Insights: Analyzing Product Intents in Web Search
Nikitha Rao
|
Chetan Bansal
|
Subhabrata Mukherjee
|
Chandra Shekhar Maddila
Muse: Multi-query Event Trend Aggregation
Allison Rozet
|
Olga Poppe
|
Chuan Lei
|
Elke A. Rundensteiner
Distant Supervision in BERT-based Adhoc Document Retrieval
Koustav Rudra
|
Avishek Anand
Modelling Regional Crime Risk using Directed Graph of Check-ins
Shakila Khan Rumi
|
Flora D. Salim
Relation Extraction with Self-determined Graph Convolutional Network
Sunil Kumar Sahu
|
Derek Thomas
|
Billy Chiu
|
Neha Sengupta
|
Mohammady Mahdy
A Framework for Analyzing the Impact of Missing Data in Predictive Models
Fabiola Santore
|
Eduardo C. de Almeida
|
Wagner Hugo Bonat
|
Eduardo H. M. Pena
|
Luiz Eduardo Soares de Oliveira
Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks
Zhen Shen
|
Chaoran Cui
|
Jin Huang
|
Jian Zong
|
Meng Chen
|
Yilong Yin
GGDs: Graph Generating Dependencies
Larissa Capobianco Shimomura
|
George Fletcher
|
Nikolay Yakovets
Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS
Junho Song
|
Hyekyoung Park
|
Kyungsik Han
|
Sang-Wook Kim
DREAM: A Dynamic Relation-Aware Model for Social Recommendation
Liqiang Song
|
Ye Bi
|
Mengqiu Yao
|
Zhenyu Wu
|
Jianming Wang
|
Jing Xiao
LogBug: Generating Adversarial System Logs in Real Time
Jingyu Sun
|
Bingyu Liu
|
Yuan Hong
TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval
Xingwu Sun
|
Hongyin Tang
|
Fuzheng Zhang
|
Yanling Cui
|
Beihong Jin
|
Zhongyuan Wang
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation
Md. Mehrab Tanjim
|
Hammad A. Ayyubi
|
Garrison W. Cottrell
Schema-Agnostic Entity Matching using Pre-trained Language Models
Kai Sheng Teong
|
Lay-Ki Soon
|
Tin Tin Su
Denoising Individual Bias for Fairer Binary Submatrix Detection
Changlin Wan
|
Wennan Chang
|
Tong Zhao
|
Sha Cao
|
Chi Zhang
Dual Autoencoder Network with Swap Reconstruction for Cold-Start Recommendation
Bei Wang
|
Chenrui Zhang
|
Hao Zhang
|
Xiaoqing Lyu
|
Zhi Tang
Embedding Node Structural Role Identity into Hyperbolic Space
Lili Wang
|
Ying Lu
|
Chenghan Huang
|
Soroush Vosoughi
Calibration of Google Trends Time Series
Robert West
Tolerant Markov Boundary Discovery for Feature Selection
Xingyu Wu
|
Bingbing Jiang
|
Yan Zhong
|
Huanhuan Chen
Deep Multi-Interest Network for Click-through Rate Prediction
Zhibo Xiao
|
Luwei Yang
|
Wen Jiang
|
Yi Wei
|
Yi Hu
|
Hao Wang
Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding
Zihan Xu
|
Jiangang Zhu
|
Ling Geng
|
Yang Yang
|
Bojia Lin
|
Daxin Jiang
Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification
Kaijia Yang
|
Nantao Zheng
|
Xinyu Dai
|
Liang He
|
Shujian Huang
|
Jiajun Chen
Analysis of Multivariate Scoring Functions for Automatic Unbiased Learning to Rank
Tao Yang
|
Shikai Fang
|
Shibo Li
|
Yulan Wang
|
Qingyao Ai
Time-aware Graph Relational Attention Network for Stock Recommendation
Xiaoting Ying
|
Cong Xu
|
Jianliang Gao
|
Jianxin Wang
|
Zhao Li
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions
Feng Yu
|
Zhaocheng Liu
|
Qiang Liu
|
Haoli Zhang
|
Shu Wu
|
Liang Wang
Few-shot Insider Threat Detection
Shuhan Yuan
|
Panpan Zheng
|
Xintao Wu
|
Hanghang Tong
Leveraging User Email Actions to Improve Ad-Close Prediction
Oleg Zendel
|
Yaroslav Fyodorov
|
Fiana Raiber
|
Natalia Silberstein
|
Oren Somekh
|
Ali Tabaja
Event-Driven Network for Cross-Modal Retrieval
Zhixiong Zeng
|
Nan Xu
|
Wenji Mao
Integrating Diagnosis Rules into Deep Neural Networks for Bladder Cancer Staging
Cheng Zhang
|
Xiaodong Yue
|
Yufei Chen
|
Ying Lv
Hyper-Substructure Enhanced Link Predictor
Jian Zhang
|
Jun Zheng
|
Jinyin Chen
|
Qi Xuan
Seasonal-Periodic Subgraph Mining in Temporal Networks
Qianzhen Zhang
|
Deke Guo
|
Xiang Zhao
|
Xinyi Li
|
Xi Wang
Multiplex Graph Neural Networks for Multi-behavior Recommendation
Weifeng Zhang
|
Jingwen Mao
|
Yi Cao
|
Congfu Xu
Robust Normalized Squares Maximization for Unsupervised Domain Adaptation
Wenju Zhang
|
Xiang Zhang
|
Qing Liao
|
Wenjing Yang
|
Long Lan
|
Zhigang Luo
Community Identification in Signed Networks: A K-Truss Based Model
Jun Zhao
|
Renjie Sun
|
Qiuyu Zhu
|
Xiaoyang Wang
|
Chen Chen
An Event-Oriented Neural Ranking Model for News Retrieval
Lin Zhao
|
Wanhui Qian
|
Liangjun Zang
|
Fuqing Zhu
|
Yijun Lu
|
Ruixuan Li
|
Jizhong Han
|
Songlin Hu
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
Wayne Xin Zhao
|
Junhua Chen
|
Pengfei Wang
|
Qi Gu
|
Ji-Rong Wen
Dimension Relation Modeling for Click-Through Rate Prediction
Zihao Zhao
|
Zhiwei Fang
|
Yong Li
|
Changping Peng
|
Yongjun Bao
|
Weipeng Yan
On-demand Influencer Discovery on Social Media
Cheng Zheng
|
Qin Zhang
|
Sean D. Young
|
Wei Wang
Data Augmentation for Graph Classification
Jiajun Zhou
|
Jie Shen
|
Qi Xuan
Diversifying Multi-aspect Search Results Using Simpson's Diversity Index
Jianghong Zhou
|
Eugene Agichtein
|
Surya Kallumadi
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Kun Zhou
|
Wayne Xin Zhao
|
Hui Wang
|
Sirui Wang
|
Fuzheng Zhang
|
Zhongyuan Wang
|
Ji-Rong Wen
Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network
Jian Zong
|
Chaoran Cui
|
Yuling Ma
|
Li Yao
|
Meng Chen
|
Yilong Yin
Multimodal Clustering via Deep Commonness and Uniqueness Mining
Linlin Zong
|
Faqiang Miao
|
Xianchao Zhang
|
Bo Xu
An Empirical Study on Clarifying Question-Based Systems
Jie Zou
|
Evangelos Kanoulas
|
Yiqun Liu
AutoADR: Automatic Model Design for Ad Relevance
Yiren Chen
|
Yaming Yang
|
Hong Sun
|
Yujing Wang
|
Yu Xu
|
Wei Shen
|
Rong Zhou
|
Yunhai Tong
|
Jing Bai
|
Ruofei Zhang
U-rank: Utility-oriented Learning to Rank with Implicit Feedback
Xinyi Dai
|
Jiawei Hou
|
Qing Liu
|
Yunjia Xi
|
Ruiming Tang
|
Weinan Zhang
|
Xiuqiang He
|
Jun Wang
|
Yong Yu
Personalized Bundle Recommendation in Online Games
Qilin Deng
|
Kai Wang
|
Minghao Zhao
|
Zhene Zou
|
Runze Wu
|
Jianrong Tao
|
Changjie Fan
|
Liang Chen
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture
Haoyu Dong
|
Jiong Yang
|
Shi Han
|
Dongmei Zhang
The Utility of Context When Extracting Entities From Legal Documents
Jonathan Donnelly
|
Adam Roegiest
Learning to Rank in the Position Based Model with Bandit Feedback
Beyza Ermis
|
Patrick Ernst
|
Yannik Stein
|
Giovanni Zappella
Fusing Global Domain Information and Local Semantic Information to Classify Financial Documents
Mengzhen Fan
|
Dawei Cheng
|
Fangzhou Yang
|
Siqiang Luo
|
Yifeng Luo
|
Weining Qian
|
Aoying Zhou
MTBRN: Multiplex Target-Behavior Relation Enhanced Network for Click-Through Rate Prediction
Yufei Feng
|
Fuyu Lv
|
Binbin Hu
|
Fei Sun
|
Kun Kuang
|
Yang Liu
|
Qingwen Liu
|
Wenwu Ou
Fine-Tuned Compressed Representations of Vessel Trajectories
Giannis Fikioris
|
Kostas Patroumpas
|
Alexander Artikis
|
Georgios Paliouras
|
Manolis Pitsikalis
Intent-Driven Similarity in E-Commerce Listings
Gilad Fuchs
|
Yoni Acriche
|
Idan Hasson
|
Pavel Petrov
Impression Pacing for Jobs Marketplace at LinkedIn
Sahin Cem Geyik
|
Luthfur Chowdhury
|
Florian Raudies
|
Wen Pu
|
Jianqiang Shen
Bid Shading in The Brave New World of First-Price Auctions
Djordje Gligorijevic
|
Tian Zhou
|
Bharatbhushan Shetty
|
Brendan Kitts
|
Shengjun Pan
|
Junwei Pan
|
Aaron Flores
Prospective Modeling of Users for Online Display Advertising via Deep Time-Aware Model
Djordje Gligorijevic
|
Jelena Gligorijevic
|
Aaron Flores
Learning to Profile: User Meta-Profile Network for Few-Shot Learning
Hao Gong
|
Qifang Zhao
|
Tianyu Li
|
Derek Cho
|
DuyKhuong Nguyen
EdgeRec: Recommender System on Edge in Mobile Taobao
Yu Gong
|
Ziwen Jiang
|
Yufei Feng
|
Binbin Hu
|
Kaiqi Zhao
|
Qingwen Liu
|
Wenwu Ou
Price Forecast with High-Frequency Finance Data: An Autoregressive Recurrent Neural Network Model with Technical Indicators
Yuechun Gu
|
Da Yan
|
Sibo Yan
|
Zhe Jiang
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems
Yulong Gu
|
Zhuoye Ding
|
Shuaiqiang Wang
|
Lixin Zou
|
Yiding Liu
|
Dawei Yin
A Deep Prediction Network for Understanding Advertiser Intent and Satisfaction
Liyi Guo
|
Rui Lu
|
Haoqi Zhang
|
Junqi Jin
|
Zhenzhe Zheng
|
Fan Wu
|
Jin Li
|
Haiyang Xu
|
Han Li
|
Wenkai Lu
|
Jian Xu
|
Kun Gai
DeText: A Deep Text Ranking Framework with BERT
Weiwei Guo
|
Xiaowei Liu
|
Sida Wang
|
Huiji Gao
|
Ananth Sankar
|
Zimeng Yang
|
Qi Guo
|
Liang Zhang
|
Bo Long
|
Bee-Chung Chen
|
Deepak Agarwal
P-Companion: A Principled Framework for Diversified Complementary Product Recommendation
Junheng Hao
|
Tong Zhao
|
Jin Li
|
Xin Luna Dong
|
Christos Faloutsos
|
Yizhou Sun
|
Wei Wang
Loan Default Analysis with Multiplex Graph Learning
Binbin Hu
|
Zhiqiang Zhang
|
Jun Zhou
|
Jingli Fang
|
Quanhui Jia
|
Yanming Fang
|
Quan Yu
|
Yuan Qi
Imbalanced Time Series Classification for Flight Data Analyzing with Nonlinear Granger Causality Learning
Hao Huang
|
Chenxiao Xu
|
Shinjae Yoo
|
Weizhong Yan
|
Tianyi Wang
|
Feng Xue
Personalized Flight Itinerary Ranking at Fliggy
Jinhong Huang
|
Yang Li
|
Shan Sun
|
Bufeng Zhang
|
Jin Huang
Learning Effective Representations for Person-Job Fit by Feature Fusion
Junshu Jiang
|
Songyun Ye
|
Wei Wang
|
Jingran Xu
|
Xiaosheng Luo
Incorporating User Feedback into Sequence to Sequence Model Training
Michaeel Kazi
|
Weiwei Guo
|
Huiji Gao
|
Bo Long
Magellan: A Personalized Travel Recommendation System Using Transaction Data
Konik Kothari
|
Dhruv Gelda
|
Wei Zhang
|
Hao Yang
ART (Attractive Recommendation Tailor): How the Diversity of Product Recommendations Affects Customer Purchase Preference in Fashion Industry?
Hyokmin Kwon
|
Jaeho Han
|
Kyungsik Han
AliMeKG: Domain Knowledge Graph Construction and Application in E-commerce
Feng-Lin Li
|
Hehong Chen
|
Guohai Xu
|
Tian Qiu
|
Feng Ji
|
Ji Zhang
|
Haiqing Chen
Peer-inspired Student Performance Prediction in Interactive Online Question Pools with Graph Neural Network
Haotian Li
|
Huan Wei
|
Yong Wang
|
Yangqiu Song
|
Huamin Qu
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection
Liangwei Li
|
Liucheng Sun
|
Chenwei Weng
|
Chengfu Huo
|
Weijun Ren
Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space
Pengcheng Li
|
Runze Li
|
Qing Da
|
Anxiang Zeng
|
Lijun Zhang
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation
Qi Liu
|
Ruobing Xie
|
Lei Chen
|
Shukai Liu
|
Ke Tu
|
Peng Cui
|
Bo Zhang
|
Leyu Lin
Decoupled Graph Convolution Network for Inferring Substitutable and Complementary Items
Yiding Liu
|
Yulong Gu
|
Zhuoye Ding
|
Junchao Gao
|
Ziyi Guo
|
Yongjun Bao
|
Weipeng Yan
Two-Stage Audience Expansion for Financial Targeting in Marketing
Zhining Liu
|
Xiao-Fan Niu
|
Chenyi Zhuang
|
Yize Tan
|
Yixiang Mu
|
Jinjie Gu
|
Guannan Zhang
Efficiently Training Intelligible Models for Global Explanations
Yin Lou
|
Yongliang Wang
|
Shiwei Liang
|
Yang Dong
TwinBERT: Distilling Knowledge to Twin-Structured Compressed BERT Models for Large-Scale Retrieval
Wenhao Lu
|
Jian Jiao
|
Ruofei Zhang
Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement
Shaunak Mishra
|
Manisha Verma
|
Yichao Zhou
|
Kapil Thadani
|
Wei Wang
Personalizing Natural Language Understanding using Multi-armed Bandits and Implicit Feedback
Fabian Moerchen
|
Patrick Ernst
|
Giovanni Zappella
MiNet: Mixed Interest Network for Cross-Domain Click-Through Rate Prediction
Wentao Ouyang
|
Xiuwu Zhang
|
Lei Zhao
|
Jinmei Luo
|
Yu Zhang
|
Heng Zou
|
Zhaojie Liu
|
Yanlong Du
Learning to Infer User Hidden States for Online Sequential Advertising
Zhaoqing Peng
|
Junqi Jin
|
Lan Luo
|
Yaodong Yang
|
Rui Luo
|
Jun Wang
|
Weinan Zhang
|
Haiyang Xu
|
Miao Xu
|
Chuan Yu
|
Tiejian Luo
|
Han Li
|
Jian Xu
|
Kun Gai
Search-based User Interest Modeling with Lifelong Sequential Behavior Data for Click-Through Rate Prediction
Qi Pi
|
Guorui Zhou
|
Yujing Zhang
|
Zhe Wang
|
Lejian Ren
|
Ying Fan
|
Xiaoqiang Zhu
|
Kun Gai
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction
Xiaoru Qu
|
Zhao Li
|
Jialin Wang
|
Zhipeng Zhang
|
Pengcheng Zou
|
Junxiao Jiang
|
Jiaming Huang
|
Rong Xiao
|
Ji Zhang
|
Jun Gao
Expert-in-the-loop AI for Polymer Discovery
Petar Ristoski
|
Dmitry Yu. Zubarev
|
Anna Lisa Gentile
|
Nathaniel Park
|
Daniel P. Sanders
|
Daniel Gruhl
|
Linda Kato
|
Steve Welch
An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening
José F. Rodrigues Jr.
|
Jean Louis Pépin
|
Lorraine Goeuriot
|
Sihem Amer-Yahia
Continuous Improvement of Medical Diagnostic Systems with Large Scale Patient Vignette Simulation
Suhrid Satyal
|
Nick Fletcher
|
Shameek Ghosh
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Mohsen Sayyadiharikandeh
|
Onur Varol
|
Kai-Cheng Yang
|
Alessandro Flammini
|
Filippo Menczer
ITAD: Integrative Tensor-based Anomaly Detection System for Reducing False Positives of Satellite Systems
Youjin Shin
|
Sangyup Lee
|
Shahroz Tariq
|
Myeong Shin Lee
|
Okchul Jung
|
Daewon Chung
|
Simon S. Woo
Helix: DGA Domain Embeddings for Tracking and Exploring Botnets
Lior Sidi
|
Yisroel Mirsky
|
Asaf Nadler
|
Yuval Elovici
|
Asaf Shabtai
Crime Linkage Based on Textual Hebrew Police Reports Utilizing Behavioral Patterns
Adir Solomon
|
Amit Magen
|
Simo Hanouna
|
Mor Kertis
|
Bracha Shapira
|
Lior Rokach
AGATHA: Automatic Graph Mining And Transformer based Hypothesis Generation Approach
Justin Sybrandt
|
Ilya Tyagin
|
Michael Shtutman
|
Ilya Safro
Query Understanding for Surfacing Under-served Music Content
Federico Tomasi
|
Rishabh Mehrotra
|
Aasish Pappu
|
Judith Bütepage
|
Brian Brost
|
Hugo Galvão
|
Mounia Lalmas
LiFT: A Scalable Framework for Measuring Fairness in ML Applications
Sriram Vasudevan
|
Krishnaram Kenthapadi
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation
Kai Wang
|
Hao Li
|
Linxia Gong
|
Jianrong Tao
|
Runze Wu
|
Changjie Fan
|
Liang Chen
|
Peng Cui
Masked-field Pre-training for User Intent Prediction
Peng Wang
|
Jiang Xu
|
Chunyi Liu
|
Hao Feng
|
Zang Li
|
Jieping Ye
Efficient Neural Query Auto Completion
Sida Wang
|
Weiwei Guo
|
Huiji Gao
|
Bo Long
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction
Guojun Wu
|
Yanhua Li
|
Shikai Luo
|
Ge Song
|
Qichao Wang
|
Jing He
|
Jieping Ye
|
Xiaohu Qie
|
Hongtu Zhu
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding
Runze Wu
|
Hao Deng
|
Jianrong Tao
|
Changjie Fan
|
Qi Liu
|
Liang Chen
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval
Tao Wu
|
Ellie Ka In Chio
|
Heng-Tze Cheng
|
Yu Du
|
Steffen Rendle
|
Dima Kuzmin
|
Ritesh Agarwal
|
Li Zhang
|
John R. Anderson
|
Sarvjeet Singh
|
Tushar Chandra
|
Ed H. Chi
|
Wen Li
|
Ankit Kumar
|
Xiang Ma
|
Alex Soares
|
Nitin Jindal
|
Pei Cao
Relevance Ranking for Real-Time Tweet Search
Yan Xia
|
Yu Sun
|
Tian Wang
|
Juan Caicedo Carvajal
|
Jinliang Fan
|
Bhargav Mangipudi
|
Lisa Huang
|
Yatharth Saraf
Generating Full Spatiotemporal Vehicular Paths: A Data Fusion Approach
Nan Xiao
|
Nan Hu
|
Liang Yu
|
Cheng Long
Multi-Channel Sellers Traffic Allocation in Large-scale E-commerce Promotion
Shen Xin
|
Yizhou Ye
|
Martin Ester
|
Cheng Long
|
Jie Zhang
|
Zhao Li
|
Kaiying Yuan
|
Yanghua Li
aDMSCN: A Novel Perspective for User Intent Prediction in Customer Service Bots
Kuan Xu
|
Chilin Fu
|
Xiaolu Zhang
|
Cen Chen
|
Ya-Lin Zhang
|
Wenge Rong
|
Zujie Wen
|
Jun Zhou
|
Xiaolong Li
|
Yu Qiao
GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems
Yishi Xu
|
Yingxue Zhang
|
Wei Guo
|
Huifeng Guo
|
Ruiming Tang
|
Mark Coates
Ranking User Attributes for Fast Candidate Selection in Recommendation Systems
Huichao Xue
Learning to Build User-tag Profile in Recommendation System
Su Yan
|
Xin Chen
|
Ran Huo
|
Xu Zhang
|
Leyu Lin
You Are How You Use: Catching Gas Theft Suspects among Diverse Restaurant Users
Xiaodu Yang
|
Xiuwen Yi
|
Shun Chen
|
Sijie Ruan
|
Junbo Zhang
|
Yu Zheng
|
Tianrui Li
Query-aware Tip Generation for Vertical Search
Yang Yang
|
Junmei Hao
|
Canjia Li
|
Zili Wang
|
Jingang Wang
|
Fuzheng Zhang
|
Rao Fu
|
Peixu Hou
|
Gong Zhang
|
Zhongyuan Wang
BotSpot: A Hybrid Learning Framework to Uncover Bot Install Fraud in Mobile Advertising
Tianjun Yao
|
Qing Li
|
Shangsong Liang
|
Yadong Zhu
Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner
Yanfang Ye
|
Yujie Fan
|
Shifu Hou
|
Yiming Zhang
|
Yiyue Qian
|
Shiyu Sun
|
Qian Peng
|
Mingxuan Ju
|
Wei Song
|
Kenneth A. Loparo
Who is Delivering My Food?: Detecting Food Delivery Abusers using Variational Reward Inference Networks
Daeyoung Yoon
|
Simon S. Woo
Elevated Road Network: A Metric Learning Method for Recognizing Whether a Vehicle is on an Elevated Road
Xiaobing Zhang
|
Hailiang Xu
|
Jian Yang
|
Jia Sun
|
Fan Chen
|
Leiyun Li
Predicting Quality of Automated Welding with Machine Learning and Semantics: A Bosch Case Study
Baifan Zhou
|
Yulia Svetashova
|
Seongsu Byeon
|
Tim Pychynski
|
Ralf Mikut
|
Evgeny Kharlamov
Ensembled CTR Prediction via Knowledge Distillation
Jieming Zhu
|
Jinyang Liu
|
Weiqi Li
|
Jincai Lai
|
Xiuqiang He
|
Liang Chen
|
Zibin Zheng
GeoLink Cruises: A Non-Synthetic Benchmark for Co-Reference Resolution on Knowledge Graphs
Reihaneh Amini
|
Lu Zhou
|
Pascal Hitzler
MLM: A Benchmark Dataset for Multitask Learning with Multiple Languages and Modalities
Jason Armitage
|
Endri Kacupaj
|
Golsa Tahmasebzadeh
|
Swati
|
Maria Maleshkova
|
Ralph Ewerth
|
Jens Lehmann
MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
Anders H. Brams
|
Anders Langballe Jakobsen
|
Theis E. Jendal
|
Matteo Lissandrini
|
Peter Dolog
|
Katja Hose
ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search
Nick Craswell
|
Daniel Campos
|
Bhaskar Mitra
|
Emine Yilmaz
|
Bodo Billerbeck
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic
Dimitar Dimitrov
|
Erdal Baran
|
Pavlos Fafalios
|
Ran Yu
|
Xiaofei Zhu
|
Matthäus Zloch
|
Stefan Dietze
LensKit for Python: Next-Generation Software for Recommender Systems Experiments
Michael D. Ekstrand
A Multidimensional Dataset Based on Crowdsourcing for Analyzing and Detecting News Bias
Michael Färber
|
Victoria Burkard
|
Adam Jatowt
|
Sora Lim
Feature Extraction for Large-Scale Text Collections
Luke Gallagher
|
Antonio Mallia
|
J. Shane Culpepper
|
Torsten Suel
|
Berkant Barla Cambazoglu
CauseNet: Towards a Causality Graph Extracted from the Web
Stefan Heindorf
|
Yan Scholten
|
Henning Wachsmuth
|
Axel-Cyrille Ngonga Ngomo
|
Martin Potthast
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering
Sebastian Hofstätter
|
Markus Zlabinger
|
Mete Sertkan
|
Michael Schröder
|
Allan Hanbury
SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs
Enrique Iglesias
|
Samaneh Jozashoori
|
David Chaves-Fraga
|
Diego Collarana
|
Maria-Esther Vidal
Web Page Segmentation Revisited: Evaluation Framework and Dataset
Johannes Kiesel
|
Florian Kneist
|
Lars Meyer
|
Kristof Komlossy
|
Benno Stein
|
Martin Potthast
The Newspaper Navigator Dataset: Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America
Benjamin Charles Germain Lee
|
Jaime Mears
|
Eileen Jakeway
|
Meghan Ferriter
|
Chris Adams
|
Nathan Yarasavage
|
Deborah Thomas
|
Kate Zwaard
|
Daniel S. Weld
MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
Jiazheng Li
|
Linyi Yang
|
Barry Smyth
|
Ruihai Dong
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Siwei Li
|
Zhiyan Zhou
|
Anish Upadhayay
|
Omar Shaikh
|
Scott Freitas
|
Haekyu Park
|
Zijie J. Wang
|
Susanta Routray
|
Matthew Hull
|
Duen Horng Chau
CC-News-En: A Large English News Corpus
Joel M. Mackenzie
|
Rodger Benham
|
Matthias Petri
|
Johanne R. Trippas
|
J. Shane Culpepper
|
Alistair Moffat
PrivacyFL: A Simulator for Privacy-Preserving and Secure Federated Learning
Vaikkunth Mugunthan
|
Anton Peraire-Bueno
|
Lalana Kagal
ContentWise Impressions: An Industrial Dataset with Impressions Included
Fernando Benjamín Pérez Maurera
|
Maurizio Ferrari Dacrema
|
Lorenzo Saule
|
Mario Scriminaci
|
Paolo Cremonesi
Profiling Entity Matching Benchmark Tasks
Anna Primpeli
|
Christian Bizer
A Large Test Collection for Entity Aspect Linking
Jordan Ramsdell
|
Laura Dietz
A Dataset of Journalists' Interactions with Their Readership: When Should Article Authors Reply to Reader Comments?
Julian Risch
|
Ralf Krestel
Karate Club: An API Oriented Open-Source Python Framework for Unsupervised Learning on Graphs
Benedek Rozemberczki
|
Oliver Kiss
|
Rik Sarkar
Little Ball of Fur: A Python Library for Graph Sampling
Benedek Rozemberczki
|
Oliver Kiss
|
Rik Sarkar
Falcon 2.0: An Entity and Relation Linking Tool over Wikidata
Ahmad Sakor
|
Kuldeep Singh
|
Anery Patel
|
Maria-Esther Vidal
GeoFlink: A Distributed and Scalable Framework for the Real-time Processing of Spatial Streams
Salman Ahmed Shaikh
|
Komal Mariam
|
Hiroyuki Kitagawa
|
Kyoung-Sook Kim
Event-QA: A Dataset for Event-Centric Question Answering over Knowledge Graphs
Tarcísio Souza Costa
|
Simon Gottschalk
|
Elena Demidova
ReQue: A Configurable Workflow and Dataset Collection for Query Refinement
Mahtab Tamannaee
|
Hossein Fani
|
Fattane Zarrinkalam
|
Jamil Samouh
|
Samad Paydar
|
Ebrahim Bagheri
BioKG: A Knowledge Graph for Relational Learning On Biological Data
Brian Walsh
|
Sameh K. Mohamed
|
Vít Novácek
Flexible IR Pipelines with Capreolus
Andrew Yates
|
Kevin Martin Jose
|
Xinyu Zhang
|
Jimmy Lin
MIMICS: A Large-Scale Data Collection for Search Clarification
Hamed Zamani
|
Gord Lueck
|
Everest Chen
|
Rodolfo Quispe
|
Flint Luu
|
Nick Craswell
The Enslaved Dataset: A Real-world Complex Ontology Alignment Benchmark using Wikibase
Lu Zhou
|
Cogan Shimizu
|
Pascal Hitzler
|
Alicia M. Sheill
|
Seila Gonzalez Estrecha
|
Catherine Foley
|
Duncan Tarr
|
Dean Rehberger
ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research
Xinyi Zhou
|
Apurva Mulay
|
Emilio Ferrara
|
Reza Zafarani
Detecting and Measuring the Exposure of Children and Adolescents to Inappropriate Comments in YouTube
Sultan Alshamrani
Tailoring Entity Matching for Industrial Settings
Nils Barlaug
Embedding based Link Prediction for Knowledge Graph Completion
Russa Biswas
Computational Approaches for Drug Repositioning: Towards a Holistic Perspective based on Knowledge Graphs
Marina Boudin
Synthesis of Dependent Multichannel ECG using Generative Adversarial Networks
Eoin Brophy
Some Issues for Location Dependent Information System Query in Mobile Environment
Ajay Kr. Gupta
Approximate Event Pattern Matching over Heterogeneous and Dirty Sources
Ruihong Huang
Controlling Patent Text Generation by Structural Metadata
Jieh-Sheng Lee
Neural (Knowledge Graph) Question Answering Using Synthetic Training Data
Trond Linjordet
Automatic Contextual Storytelling in a Natural Language Corpus
Ishrat Rahman Sami
Generating Clarifying Questions in Conversational Search Systems
Leila Tavakoli
How the Quantum-inspired Framework Supports Keyword Searches on Multi-model Databases
Gongsheng Yuan
Optimal End-Biased Histograms for Hierarchical Data
Rachel Behar
|
Sara Cohen
Two Test Collections for Retrieval Using Named Entity Markup
Jacob Bremerman
|
Dawn J. Lawrie
|
James Mayfield
|
Douglas W. Oard
Improving Anchor-based Explanations
Julien Delaunay
|
Luis Galárraga
|
Christine Largouët
Towards Inferring Queries from Simple and Partial Provenance Examples
Amir Gilad
|
Yuval Moskovitch
Enhanced Story Representation by ConceptNet for Predicting Story Endings
Shanshan Huang
|
Kenny Q. Zhu
|
Qianzi Liao
|
Libin Shen
|
Yinggong Zhao
Empirical Analysis of Impact of Query-Specific Customization of nDCG: A Case-Study with Learning-to-Rank Methods
Shubhra (Santu) K. Karmaker
|
Parikshit Sondhi
|
ChengXiang Zhai
Autonomous Predictive Modeling via Reinforcement Learning
Udayan Khurana
|
Horst Samulowitz
A Human-in-the-Loop Approach to Malware Author Classification
Eujeanne Kim
|
Sung-Jun Park
|
Dong-Kyu Chae
|
Seokwoo Choi
|
Sang-Wook Kim
Deriving Geolocations in Wikipedia
Amir Krause
|
Sara Cohen
A Cost Estimation Technique for Recursive Relational Algebra
Muideen Lawal
|
Pierre Genevès
|
Nabil Layaïda
User Taste-Aware Image Search
Jiyun Luo
|
Pak Ming Cheung
|
Wenyu Huo
|
Ying Huang
|
Rajat Raina
RotaryDS: Fast Storage for Massive Data Streams via a Rotation Storage Model
Yanqi Lv
|
Peiquan Jin
ALEX: Active Learning based Enhancement of a Classification Model's EXplainability
Ishani Mondal
|
Debasis Ganguly
A Capsule Network-based Model for Learning Node Embeddings
Dai Quoc Nguyen
|
Tu Dinh Nguyen
|
Dat Quoc Nguyen
|
Dinh Phung
Structured Knowledge: Have we made progress? An extrinsic study of KB coverage over 19 years
Simon Razniewski
|
Priyanka Das
Diverse Enumeration of Maximal Cliques
Liron Sade
|
Sara Cohen
Truth be Told: Fake News Detection Using User Reactions on Reddit
Vinay Setty
|
Erlend Rekve
Ranking Multiple Choice Question Distractors using Semantically Informed Neural Networks
Manjira Sinha
|
Tirthankar Dasgupta
|
Jatin Mandav
Exploiting Common Neighbor Graph for Link Prediction
Hao Tian
|
Reza Zafarani
Maximum Signed (k, r)-Truss Identification in Signed Networks
Yanping Wu
|
Renjie Sun
|
Chen Chen
|
Xiaoyang Wang
|
Qiuyu Zhu
Semi-supervised Consensus Clustering Based on Frequent Closed Itemsets
Tianshu Yang
|
Nicolas Pasquier
|
Antoine Hom
|
Laurent Dollé
|
Frédéric Precioso
Smarter and Safer Traffic Signal Controlling via Deep Reinforcement Learning
Bingquan Yu
|
Jinqiu Guo
|
Qinpei Zhao
|
Jiangfeng Li
|
Weixiong Rao
OFFER: A Motif Dimensional Framework for Network Representation Learning
Shuo Yu
|
Feng Xia
|
Jin Xu
|
Zhikui Chen
|
Ivan Lee
Large Scale Long-tailed Product Recognition System at Alibaba
Xiangzeng Zhou
|
Pan Pan
|
Yun Zheng
|
Yinghui Xu
|
Rong Jin
Exploiting Class Labels to Boost Performance on Embedding-based Text Classification
Arkaitz Zubiaga
Gtensor: Fast and Accurate Tensor Analysis System using GPUs
Dawon Ahn
|
Sangjun Son
|
U Kang
CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information
Heer Ambavi
|
Kavita Vaishnaw
|
Udit Vyas
|
Abhisht Tiwari
|
Mayank Singh
Nebula: A Scalable Privacy-Preserving Machine Learning System in Ant Financial
Cen Chen
|
Bingzhe Wu
|
Li Wang
|
Chaochao Chen
|
Jin Tan
|
Lei Wang
|
Jun Zhou
|
Benyu Zhang
IDEAL: IDEntifying the User's IdeAL Tuple via Sorting in the Database
Chen Chen
|
Jiping Zheng
|
Weijun Yan
|
Meijing Wang
PandaSQL: Parallel Randomized Triangle Enumeration with SQL Queries
Abir Farouzi
|
Ladjel Bellatreche
|
Carlos Ordonez
|
Gopal Pandurangan
|
Mimoun Malki
Semantic Search over Structured Data
Sainyam Galhotra
|
Udayan Khurana
STREAMER: A Powerful Framework for Continuous Learning in Data Streams
Sandra Garcia-Rodriguez
|
Mohammad Alshaer
|
Cédric Gouy-Pailler
INforE: Interactive Cross-platform Analytics for Everyone
Nikos Giatrakos
|
David Arnu
|
Theodoros Bitsakis
|
Antonios Deligiannakis
|
Minos N. Garofalakis
|
Ralf Klinkenberg
|
Aris Konidaris
|
Antonis Kontaxakis
|
Yannis Kotidis
|
Vasilis Samoladas
|
Alkis Simitsis
|
George Stamatakis
|
Fabian Temme
|
Mate Torok
|
Edwin Yaqub
|
Arnau Montagud
|
Miguel Ponce de Leon
|
Holger Arndt
|
Stefan Burkard
ArXivDigest: A Living Lab for Personalized Scientific Literature Recommendation
Kristian Gingstad
|
Øyvind Jekteberg
|
Krisztian Balog
Vallum-Med: Protecting Medical Data in Cloud Environments
Ronny Peterson
|
Altigran S. da Silva
|
André Carvalho
|
Christof Fetzer
|
André Martin
|
Ignacio Blanquer
Weaving Text into Tables
Dhruv Gupta
|
Klaus Berberich
IAI MovieBot: A Conversational Movie Recommender System
Javeria Habib
|
Shuo Zhang
|
Krisztian Balog
Exploration of Dynamic Query-Based Load Balancing for Partially Replicated Database Systems with Node Failures
Stefan Halfpap
|
Rainer Schlosser
TiCCo: Time-Centric Content Exploration
Philip Hausner
|
Dennis Aumiller
|
Michael Gertz
Multimodal Knowledge Graph for Deep Learning Papers and Code
Amar Viswanathan Kannan
|
Dmitriy Fradkin
|
Ioannis Akrotirianakis
|
Tugba Kulahcioglu
|
Arquimedes Canedo
|
Aditi Roy
|
Shih-Yuan Yu
|
Arnav V. Malawade
|
Mohammad Abdullah Al Faruque
UWKGM: A Modular Platform for Knowledge Graph Management
Natthawut Kertkeidkachorn
|
Rungsiman Nararatwong
|
Ryutaro Ichise
WebLens: Towards Interactive Large-scale Structured Data Profiling
Rituparna Khan
|
Michael N. Gubanov
Visualet: Visualizing Shapelets for Time Series Classification
Guozhong Li
|
Byron Choi
|
Sourav S. Bhowmick
|
Grace Lai-Hung Wong
|
Kwok-Pan Chun
|
Shiwen Li
M-Cypher: A GQL Framework Supporting Motifs
Xiaodong Li
|
Reynold Cheng
|
Matin Najafi
|
Kevin Chen-Chuan Chang
|
Xiaolin Han
|
Hongtai Cao
AURORA: An Information Extraction System of Domain-specific Business Documents with Limited Data
Minh-Tien Nguyen
|
Le Tien Dung
|
Le Thai Linh
|
Nguyen Hong Son
|
Do Hoang Thai Duong
|
Bui Cong Minh
|
Nguyen Hai Phong
|
Nguyen Huu Hiep
PrivacyCheck v2: A Tool that Recaps Privacy Policies for You
Razieh Nokhbeh Zaeem
|
Safa Anya
|
Alex Issa
|
Jake Nimergood
|
Isabelle Rogers
|
Vinay Shah
|
Ayush Srivastava
|
K. Suzanne Barber
Inside Quasimodo: Exploring Construction and Usage of Commonsense Knowledge
Julien Romero
|
Simon Razniewski
Computing and Illustrating Query Rewritings on Path Views with Binding Patterns
Julien Romero
|
Nicoleta Preda
|
Antoine Amarilli
|
Fabian M. Suchanek
A Toolkit for Managing Multiple Crowdsourced Top-K Queries
Caihua Shan
|
Leong Hou U
|
Nikos Mamoulis
|
Reynold Cheng
User and Context Integrated Experience Mining in Online Health Communities
Jinhe Shi
|
Yi Chen
Attribution IQ: Scalable Game Theoretic Attribution in Web Analytics
Ritwik Sinha
|
Ivan Andrus
|
Trevor Paulsen
April: An Automatic Graph Data Management System Based on Reinforcement Learning
Hongzhi Wang
|
Zhixin Qi
|
Lei Zheng
|
Yun Feng
|
Junfei Ouyang
|
Haoqi Zhang
|
Xiangxi Zhang
|
Ziming Shen
|
Shirong Liu
Active Hazard Observation via Human in the Loop Social Media Analytics System
Zhenyu Wen
|
Jedsada Phengsuwan
|
Nipun Balan Thekkummal
|
Rui Sun
|
Pooja jamathi-Chidananda
|
Tejal Shah
|
Philip James
|
Rajiv Ranjan
UI-FAME: A High-Performance Forgetting System for Creating Views of Ontologies
Xuan Wu
|
Wenxing Deng
|
Chang Lu
|
Hao Feng
|
Yizheng Zhao
InterNet: Multistep Traffic Forecasting by Interacting Spatial and Temporal Features
Yilian Xin
|
Dezhuang Miao
|
Mengxia Zhu
|
Cheqing Jin
|
Xuesong Lu
Sample Driven Data Mapping for Linked Data and Web APIs
Tobias Zeimetz
|
Ralf Schenkel
EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning
Zhiqiang Zhang
|
Jun Zhou
|
Chuan Shi
SemFE: Facilitating ML Pipeline Development with Semantics
Baifan Zhou
|
Yulia Svetashova
|
Tim Pychynski
|
Ildar Baimuratov
|
Ahmet Soylu
|
Evgeny Kharlamov
Active Search using Meta-Bandits
Shengli Zhu
|
Jakob Coles
|
Sihong Xie
Towards Rich Qery Blockchain Database
Yanchao Zhu
|
Zhao Zhang
|
Cheqing Jin
|
Aoying Zhou
|
Gang Qin
|
Yingjie Yang
Neural Bayesian Information Processing
Jen-Tzung Chien
The Battle Against Online Harmful Information: The Cases of Fake News and Hate Speech
Anastasia Giachanou
|
Paolo Rosso
Multi-Model Data Query Languages and Processing Paradigms
Qingsong Guo
|
Jiaheng Lu
|
Chao Zhang
|
Calvin Sun
|
Steven Yuan
Compression of Deep Learning Models for NLP
Manish Gupta
|
Vasudeva Varma
|
Sonam Damani
|
Kedhar Nath Narahari
Knowledge Graphs: A Tutorial on the History of Knowledge Graph's Main Ideas
Claudio Gutierrez
|
Juan F. Sequeda
Fairness in Unsupervised Learning
Deepak P
|
Joemon M. Jose
|
Sanil V
Challenges and Solutions to the Student Dropout Prediction Problem in Online Courses
Bardh Prenkaj
|
Giovanni Stilo
|
Lorenzo Madeddu
Introduction to Computer Vision and Realtime Deep Learning-based Object Detection
James G. Shanahan
IoT Data Quality
Shaoxu Song
|
Aoqian Zhang
Mining User Interests from Social Media
Fattane Zarrinkalam
|
Guangyuan Piao
|
Stefano Faralli
|
Ebrahim Bagheri
Network Alignment: Recent Advances and Future Directions
Si Zhang
|
Hanghang Tong
CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications
Mehwish Alam
|
Paul Groth
|
Pascal Hitzler
|
Heiko Paulheim
|
Harald Sack
|
Volker Tresp
SKG4J 2020: 1st International Workshop on Semantic and Knowledge Graph Advances for Journalism
Tareq Al-Moslmi
|
Raphaël Troncy
|
André Freitas
|
Davide Ceolin
|
Abdullatif Abolohom
The 5th International Workshop on Mining Actionable Insights from Social Networks (MAISoN 2020): Special Edition on Dis/Misinformation Mining from Social media
Ebrahim Bagheri
|
Huan Liu
|
Kai Shu
|
Fattane Zarrinkalam
AIMLAI'20: Third Workshop on Advances in Interpretable Machine Learning and Artificial Intelligence
Adrien Bibal
|
Tassadit Bouadi
|
Benoît Frénay
|
Luis Galárraga
|
José Oramas
DataMod2020: 9th International Symposium "From Data to Models and Back"
Juliana Bowles
|
Giovanna Broccia
|
Mirco Nanni
3rd International Workshop on EntitY Retrieval and lEarning (EYRE 2020)
Gong Cheng
|
Kalpa Gunaratna
|
Jun Wang
IWILDS'20: The 1st International Workshop on Investigating Learning during Web Search
Anett Hoppe
|
Ran Yu
|
Yvonne Kammerer
|
Ladislao Salmerón
DTMBIO 2020: The Fourteenth International Workshop on Data and Text Mining in Biomedical Informatics
Hyojung Paik
|
Sunyong Yoo
|
Hojung Nam
|
Mark Stevenson
|
Albert No
On the Knowledge-Driven Analytics and Systems Impacting Human Quality of Life
Arijit Ukil
|
Leandro Marín
|
Antonio Jara
|
John R. Farserotu