WSDM '21, The Fourteenth ACM International Conference on Web Search and Data Mining, Virtual Event, Israel, March 8-12, 2021
Liane Lewin-Eytan, David Carmel, Elad Yom-Tov, Eugene Agichtein, Evgeniy Gabrilovich (Editors)
- Anthology ID:
- 2021.wsdm_conference-2021
- Year:
- 2021
- Venue:
- wsdm_conference
- Publisher:
- ACM
- URL:
- https://doi.org/10.1145/3437963
- DOI:
- 10.1145/3437963
- DBLP:
- conf/wsdm/2021
Some Thoughts on Computational Natural Language in the 21st Century
Yoav Shoham
Beyond Web Search: How Email Search is Different and Why it Matters
Susan T. Dumais
Harnessing Big Data for Personalized Medicine
Eran Segal
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Jina Suh
|
Eric Horvitz
|
Ryen W. White
|
Tim Althoff
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali
|
Piotr Sapiezynski
|
Aleksandra Korolova
|
Alan Mislove
|
Aaron Rieke
Towards Ordinal Suicide Ideation Detection on Social Media
Ramit Sawhney
|
Harshit Joshi
|
Saumya Gandhi
|
Rajiv Ratn Shah
DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents
Kunal Dahiya
|
Deepak Saini
|
Anshul Mittal
|
Ankush Shaw
|
Kushal Dave
|
Akshay Soni
|
Himanshu Jain
|
Sumeet Agarwal
|
Manik Varma
Semi-Supervised Text Classification via Self-Pretraining
Payam Karisani
|
Negin Karisani
DECAF: Deep Extreme Classification with Label Features
Anshul Mittal
|
Kunal Dahiya
|
Sheshansh Agrawal
|
Deepak Saini
|
Sumeet Agarwal
|
Purushottam Kar
|
Manik Varma
Modeling Across-Context Attention For Long-Tail Query Classification in E-commerce
Junhao Zhang
|
Weidi Xu
|
Jianhui Ji
|
Xi Chen
|
Hongbo Deng
|
Keping Yang
On the Impact of Predicate Complexity in Crowdsourced Classification Tasks
Jorge Ramírez
|
Marcos Báez
|
Fabio Casati
|
Luca Cernuzzi
|
Boualem Benatallah
|
Ekaterina A. Taran
|
Veronika A. Malanina
Beyond Point Estimate: Inferring Ensemble Prediction Variation from Neuron Activation Strength in Recommender Systems
Zhe Chen
|
Yuyan Wang
|
Dong Lin
|
Derek Zhiyuan Cheng
|
Lichan Hong
|
Ed H. Chi
|
Claire Cui
Popularity-Opportunity Bias in Collaborative Filtering
Ziwei Zhu
|
Yun He
|
Xing Zhao
|
Yin Zhang
|
Jianling Wang
|
James Caverlee
A Black-Box Attack Model for Visually-Aware Recommender Systems
Rami Cohen
|
Oren Sar Shalom
|
Dietmar Jannach
|
Amihood Amir
Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
Roger Zhe Li
|
Julián Urbano
|
Alan Hanjalic
Real-time Relevant Recommendation Suggestion
Ruobing Xie
|
Rui Wang
|
Shaoliang Zhang
|
Zhihong Yang
|
Feng Xia
|
Leyu Lin
User Response Models to Improve a REINFORCE Recommender System
Minmin Chen
|
Bo Chang
|
Can Xu
|
Ed H. Chi
Diverse User Preference Elicitation with Multi-Armed Bandits
Javier Parapar
|
Filip Radlinski
RePBubLik: Reducing Polarized Bubble Radius with Link Insertions
Shahrzad Haddadan
|
Cristina Menghini
|
Matteo Riondato
|
Eli Upfal
Node Similarity Preserving Graph Convolutional Networks
Wei Jin
|
Tyler Derr
|
Yiqi Wang
|
Yao Ma
|
Zitao Liu
|
Jiliang Tang
BiTe-GCN: A New GCN Architecture via Bidirectional Convolution of Topology and Features on Text-Rich Networks
Di Jin
|
Xiangchen Song
|
Zhizhi Yu
|
Ziyang Liu
|
Heling Zhang
|
Zhaomeng Cheng
|
Jiawei Han
Deconfounding with Networked Observational Data in a Dynamic Environment
Jing Ma
|
Ruocheng Guo
|
Chen Chen
|
Aidong Zhang
|
Jundong Li
Balanced Influence Maximization in the Presence of Homophily
Md Sanzeed Anwar
|
Martin Saveski
|
Deb Roy
Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network
Yuanzhen Xie
|
Zijing Ou
|
Liang Chen
|
Yang Liu
|
Kun Xu
|
Carl Yang
|
Zibin Zheng
Online Experimentation with Surrogate Metrics: Guidelines and a Case Study
Weitao Duan
|
Shan Ba
|
Chunzhe Zhang
CONQ: CONtinuous Quantile Treatment Effects for Large-Scale Online Controlled Experiments
Weinan Wang
|
Xi Zhang
Causal Transfer Random Forest: Combining Logged Data and Randomized Experiments for Robust Prediction
Shuxi Zeng
|
Murat Ali Bayir
|
Joseph J. Pfeiffer III
|
Denis Charles
|
Emre Kiciman
Relation-aware Meta-learning for E-commerce Market Segment Demand Prediction with Limited Records
Jiatu Shi
|
Huaxiu Yao
|
Xian Wu
|
Tong Li
|
Zedong Lin
|
Tengfei Wang
|
Binqiang Zhao
Credit Risk and Limits Forecasting in E-Commerce Consumer Lending Service via Multi-view-aware Mixture-of-experts Nets
Ting Liang
|
Guanxiong Zeng
|
Qiwei Zhong
|
Jianfeng Chi
|
Jinghua Feng
|
Xiang Ao
|
Jiayu Tang
Shifting Consumption towards Diverse Content on Music Streaming Platforms
Christian Hansen
|
Rishabh Mehrotra
|
Casper Hansen
|
Brian Brost
|
Lucas Maystre
|
Mounia Lalmas
Chebyshev Accelerated Spectral Clustering
Tianyu Yu
|
Yonghua Zhao
|
Rongfeng Huang
|
Shifang Liu
|
Xinyin Zhang
Theoretical Understandings of Product Embedding for E-commerce Machine Learning
Da Xu
|
Chuanwei Ruan
|
Evren Körpeoglu
|
Sushant Kumar
|
Kannan Achan
Pre-Training Graph Neural Networks for Cold-Start Users and Items Representation
Bowen Hao
|
Jing Zhang
|
Hongzhi Yin
|
Cuiping Li
|
Hong Chen
Long-Term Effect Estimation with Surrogate Representation
Lu Cheng
|
Ruocheng Guo
|
Huan Liu
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval
Xinyu Ma
|
Jiafeng Guo
|
Ruqing Zhang
|
Yixing Fan
|
Xiang Ji
|
Xueqi Cheng
Bilateral Variational Autoencoder for Collaborative Filtering
Quoc-Tuan Truong
|
Aghiles Salah
|
Hady W. Lauw
Generative Models are Unsupervised Predictors of Page Quality: A Colossal-Scale Study
Dara Bahri
|
Yi Tay
|
Che Zheng
|
Cliff Brunk
|
Donald Metzler
|
Andrew Tomkins
Generating Tips from Product Reviews
Sharon Hirsch
|
Slava Novgorodov
|
Ido Guy
|
Alexander Nus
Discovering Undisclosed Paid Partnership on Social Media via Aspect-Attentive Sponsored Post Learning
Seungbae Kim
|
Jyun-Yu Jiang
|
Wei Wang
Quotebank: A Corpus of Quotations from a Decade of News
Timoté Vaucher
|
Andreas Spitz
|
Michele Catasta
|
Robert West
Abstractive Opinion Tagging
Qintong Li
|
Piji Li
|
Xinyi Li
|
Zhaochun Ren
|
Zhumin Chen
|
Maarten de Rijke
Contextualizing Trending Entities in News Stories
Marco Ponza
|
Diego Ceccarelli
|
Paolo Ferragina
|
Edgar Meij
|
Sambhav Kothari
Question Rewriting for Conversational Question Answering
Svitlana Vakulenko
|
Shayne Longpre
|
Zhucheng Tu
|
Raviteja Anantha
Adapting User Preference to Online Feedback in Multi-round Conversational Recommendation
Kerui Xu
|
Jingxuan Yang
|
Jun Xu
|
Sheng Gao
|
Jun Guo
|
Ji-Rong Wen
Denoising Implicit Feedback for Recommendation
Wenjie Wang
|
Fuli Feng
|
Xiangnan He
|
Liqiang Nie
|
Tat-Seng Chua
Origin-Aware Next Destination Recommendation with Personalized Preference Attention
Nicholas Lim
|
Bryan Hooi
|
See-Kiong Ng
|
Xueou Wang
|
Yong Liang Goh
|
Renrong Weng
|
Rui Tan
Event-Driven Query Expansion
Guy D. Rosin
|
Ido Guy
|
Kira Radinsky
An Efficient and Effective Framework for Session-based Social Recommendation
Tianwen Chen
|
Raymond Chi-Wing Wong
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
Yanbo Xu
|
Divyat Mahajan
|
Liz Manrao
|
Amit Sharma
|
Emre Kiciman
Explain and Predict, and then Predict Again
Zijian Zhang
|
Koustav Rudra
|
Avishek Anand
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings
Xiaojie Wang
|
Rui Zhang
|
Yu Sun
|
Jianzhong Qi
Practical Compositional Fairness: Understanding Fairness in Multi-Component Recommender Systems
Xuezhi Wang
|
Nithum Thain
|
Anu Sinha
|
Flavien Prost
|
Ed H. Chi
|
Jilin Chen
|
Alex Beutel
Towards Long-term Fairness in Recommendation
Yingqiang Ge
|
Shuchang Liu
|
Ruoyuan Gao
|
Yikun Xian
|
Yunqi Li
|
Xiangyu Zhao
|
Changhua Pei
|
Fei Sun
|
Junfeng Ge
|
Wenwu Ou
|
Yongfeng Zhang
Online Post-Processing in Rankings for Fair Utility Maximization
Ananya Gupta
|
Eric Johnson
|
Justin Payan
|
Aditya Kumar Roy
|
Ari Kobren
|
Swetasudha Panda
|
Jean-Baptiste Tristan
|
Michael L. Wick
Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions
Harrie Oosterhuis
|
Maarten de Rijke
Bias-Variance Decomposition for Ranking
Pannaga Shivaswamy
|
Ashok Chandrashekar
Non-Clicks Mean Irrelevant? Propensity Ratio Scoring As a Correction
Nan Wang
|
Zhen Qin
|
Xuanhui Wang
|
Hongning Wang
Unbiased Learning to Rank in Feeds Recommendation
Xinwei Wu
|
Hechang Chen
|
Jiashu Zhao
|
Li He
|
Dawei Yin
|
Yi Chang
Interpretable Ranking with Generalized Additive Models
Honglei Zhuang
|
Xuanhui Wang
|
Michael Bendersky
|
Alexander Grushetsky
|
Yonghui Wu
|
Petr Mitrichev
|
Ethan Sterling
|
Nathan Bell
|
Walker Ravina
|
Hai Qian
Improving Cloud Storage Search with User Activity
Rolf Jagerman
|
Weize Kong
|
Rama Kumar Pasumarthi
|
Zhen Qin
|
Michael Bendersky
|
Marc Najork
Temporal Cross-Effects in Knowledge Tracing
Chenyang Wang
|
Weizhi Ma
|
Min Zhang
|
Chuancheng Lv
|
Fengyuan Wan
|
Huijie Lin
|
Taoran Tang
|
Yiqun Liu
|
Shaoping Ma
FACE-KEG: Fact Checking Explained using KnowledgE Graphs
Nikhita Vedula
|
Srinivasan Parthasarathy
Learning Dynamic Embeddings for Temporal Knowledge Graphs
Siyuan Liao
|
Shangsong Liang
|
Zaiqiao Meng
|
Qiang Zhang
Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph
Yu Chen
|
Ananya Subburathinam
|
Ching-Hua Chen
|
Mohammed J. Zaki
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Gaole He
|
Yunshi Lan
|
Jing Jiang
|
Wayne Xin Zhao
|
Ji-Rong Wen
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification
Lixin Su
|
Ruqing Zhang
|
Jiafeng Guo
|
Yixing Fan
|
Jiangui Chen
|
Yanyan Lan
|
Xueqi Cheng
Long Horizon Forecasting with Temporal Point Processes
Prathamesh Deshpande
|
Kamlesh Marathe
|
Abir De
|
Sunita Sarawagi
Time-Series Event Prediction with Evolutionary State Graph
Wenjie Hu
|
Yang Yang
|
Ziqiang Cheng
|
Carl Yang
|
Xiang Ren
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams
Yen-Yu Chang
|
Pan Li
|
Rok Sosic
|
M. H. Afifi
|
Marco Schweighauser
|
Jure Leskovec
Sparse-Interest Network for Sequential Recommendation
Qiaoyu Tan
|
Jianwei Zhang
|
Jiangchao Yao
|
Ninghao Liu
|
Jingren Zhou
|
Hongxia Yang
|
Xia Hu
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals
Tsung-Yu Hsieh
|
Suhang Wang
|
Yiwei Sun
|
Vasant G. Honavar
Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction
Chunyang Wang
|
Yanmin Zhu
|
Tianzi Zang
|
Haobing Liu
|
Jiadi Yu
Bipartite Graph Embedding via Mutual Information Maximization
Jiangxia Cao
|
Xixun Lin
|
Shu Guo
|
Luchen Liu
|
Tingwen Liu
|
Bin Wang
Centrality with Diversity
Liang Lyu
|
Brandon Fain
|
Kamesh Munagala
|
Kangning Wang
Filter Pruning via Probabilistic Model-based Optimization for Accelerating Deep Convolutional Neural Networks
Qinghua Li
|
Cuiping Li
|
Hong Chen
Federated Deep Knowledge Tracing
Jinze Wu
|
Zhenya Huang
|
Qi Liu
|
Defu Lian
|
Hao Wang
|
Enhong Chen
|
Haiping Ma
|
Shijin Wang
Fast Disjunctive Candidate Generation Using Live Block Filtering
Antonio Mallia
|
Michal Siedlaczek
|
Torsten Suel
Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information
Enyan Dai
|
Suhang Wang
A Unifying Framework to Identify Dense Subgraphs on Streams: Graph Nuclei to Hypergraph Cores
Kasimir Gabert
|
Ali Pinar
|
Ümit V. Çatalyürek
Adversarial Immunization for Certifiable Robustness on Graphs
Shuchang Tao
|
Huawei Shen
|
Qi Cao
|
Liang Hou
|
Xueqi Cheng
Triangular Bidword Generation for Sponsored Search Auction
Zhenqiao Song
|
Jiaze Chen
|
Hao Zhou
|
Lei Li
Learning User Representations with Hypercuboids for Recommender Systems
Shuai Zhang
|
Huoyu Liu
|
Aston Zhang
|
Yue Hu
|
Ce Zhang
|
Yumeng Li
|
Tanchao Zhu
|
Shaojian He
|
Wenwu Ou
Heterogeneous Hypergraph Embedding for Graph Classification
Xiangguo Sun
|
Hongzhi Yin
|
Bo Liu
|
Hongxu Chen
|
Jiuxin Cao
|
Yingxia Shao
|
Nguyen Quoc Viet Hung
Local Collaborative Autoencoders
Minjin Choi
|
Yoonki Jeong
|
Joonseok Lee
|
Jongwuk Lee
Exploring the Subgraph Density-Size Trade-off via the Lovaśz Extension
Aritra Konar
|
Nicholas D. Sidiropoulos
Balance Maximization in Signed Networks via Edge Deletions
Kartik Sharma
|
Iqra Altaf Gillani
|
Sourav Medya
|
Sayan Ranu
|
Amitabha Bagchi
DeepIS: Susceptibility Estimation on Social Networks
Wenwen Xia
|
Yuchen Li
|
Jun Wu
|
Shenghong Li
Hierarchical Metadata-Aware Document Categorization under Weak Supervision
Yu Zhang
|
Xiusi Chen
|
Yu Meng
|
Jiawei Han
Learning to Drop: Robust Graph Neural Network via Topological Denoising
Dongsheng Luo
|
Wei Cheng
|
Wenchao Yu
|
Bo Zong
|
Jingchao Ni
|
Haifeng Chen
|
Xiang Zhang
AutoCite: Multi-Modal Representation Fusion for Contextual Citation Generation
Qingqin Wang
|
Yun Xiong
|
Yao Zhang
|
Jiawei Zhang
|
Yangyong Zhu
Unsupervised Attributed Network Embedding via Cross Fusion
Guosheng Pan
|
Yuan Yao
|
Hanghang Tong
|
Feng Xu
|
Jian Lu
Predicting Crowd Flows via Pyramid Dilated Deeper Spatial-temporal Network
Congcong Miao
|
Jiajun Fu
|
Jilong Wang
|
Heng Yu
|
Botao Yao
|
Anqi Zhong
|
Jie Chen
|
Zekun He
Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling
Justus Isaiah Hibshman
|
Daniel Gonzalez
|
Satyaki Sikdar
|
Tim Weninger
FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection
Jia Li
|
Shimin Di
|
Yanyan Shen
|
Lei Chen
GraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks
Tianxiang Zhao
|
Xiang Zhang
|
Suhang Wang
CalibreNet: Calibration Networks for Multilingual Sequence Labeling
Shining Liang
|
Linjun Shou
|
Jian Pei
|
Ming Gong
|
Wanli Zuo
|
Daxin Jiang
Modeling Context Pair Interaction for Pairwise Tasks on Graphs
Zhen Wang
|
Bo Zong
|
Huan Sun
HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification
Rahul Ragesh
|
Sundararajan Sellamanickam
|
Arun Iyer
|
Ramakrishna Bairi
|
Vijay Lingam
Towards Scalable Spectral Embedding and Data Visualization via Spectral Coarsening
Zhiqiang Zhao
|
Ying Zhang
|
Zhuo Feng
I2PS: An Online Item Intelligent Publishing System in Consumer to Consumer (C2C) Transaction Platform
Lei Tian
|
Nanyang Wang
|
Pan Pan
|
Bin Wang
|
Yinghui Xu
FinSense: An Assistant System for Financial Journalists and Investors
Yi-Ting Liou
|
Chung-Chi Chen
|
Tsun-Hsien Tang
|
Hen-Hsen Huang
|
Hsin-Hsi Chen
TwiScraper: A Collaborative Project to Enhance Twitter Data Collection
Didier Henry
SoMin.ai: Personality-Driven Content Generation Platform
Aleksandr Farseev
|
Qi Yang
|
Andrey Filchenkov
|
Kirill Lepikhin
|
Yu-Yi Chu-Farseeva
|
Daron-Benjamin Loo
ColorfulFeedback: Enhancing Interest Prediction Performance through Multi-dimensional Labeled Feedback from Users
Yuki Maeda
|
Shuji Yamaguchi
|
Tatsuru Higurashi
|
Kota Tsubouchi
WULAI-QA: Web Understanding and Learning with AI towards Document-based Question Answering against COVID-19
Yuan Zhang
|
Xiaoqing Zhang
|
Yichuan Hu
|
Guanchun Wang
|
Rui Yan
Category Recognition in E-Commerce using Sequence-to-Sequence Hierarchical Classification
Idan Hasson
|
Slava Novgorodov
|
Gilad Fuchs
|
Yoni Acriche
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries
Tongliang Li
|
Lei Fang
|
Jian-Guang Lou
|
Zhoujun Li
|
Dongmei Zhang
A Practical Federated Learning Framework for Small Number of Stakeholders
Christian Schneebeli
|
Saikishore Kalloori
|
Severin Klingler
GPR: Global Personalized Restaurant Recommender System Leveraging Billions of Financial Transactions
Mangesh Bendre
|
Mahashweta Das
|
Fei Wang
|
Hao Yang
Birdspotter: A Tool for Analyzing and Labeling Twitter Users
Rohit Ram
|
Quyu Kong
|
Marian-Andrei Rizoiu
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Wei Deng
|
Junwei Pan
|
Tian Zhou
|
Deguang Kong
|
Aaron Flores
|
Guang Lin
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Riku Togashi
|
Mayu Otani
|
Shin'ichi Satoh
β-Cores: Robust Large-Scale Bayesian Data Summarization in the Presence of Outliers
Dionysis Manousakas
|
Cecilia Mascolo
How to Measure Your App: A Couple of Pitfalls and Remedies in Measuring App Performance in Online Controlled Experiments
Yuxiang Xie
|
Meng Xu
|
Evan Chow
|
Xiaolin Shi
Decomposed Collaborative Filtering: Modeling Explicit and Implicit Factors For Recommender Systems
Hao Chen
|
Xin Xin
|
Dong Wang
|
Yue Ding
Explainable Recommendation with Comparative Constraints on Product Aspects
Trung-Hoang Le
|
Hady W. Lauw
Mining the Stars: Learning Quality Ratings with User-facing Explanations for Vacation Rentals
Anastasiia Kornilova
|
Lucas Bernardi
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction
Kai Zhang
|
Hao Qian
|
Qing Cui
|
Qi Liu
|
Longfei Li
|
Jun Zhou
|
Jianhui Ma
|
Enhong Chen
Optimizing Multiple Performance Metrics with Deep GSP Auctions for E-commerce Advertising
Zhilin Zhang
|
Xiangyu Liu
|
Zhenzhe Zheng
|
Chenrui Zhang
|
Miao Xu
|
Junwei Pan
|
Chuan Yu
|
Fan Wu
|
Jian Xu
|
Kun Gai
Enhancing Neural Recommender Models through Domain-Specific Concordance
Ananth Balashankar
|
Alex Beutel
|
Lakshminarayanan Subramanian
QueryBlazer: Efficient Query Autocompletion Framework
Young Mo Kang
|
Wenhao Liu
|
Yingbo Zhou
Explanation as a Defense of Recommendation
Aobo Yang
|
Nan Wang
|
Hongbo Deng
|
Hongning Wang
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks
Xichuan Niu
|
Bofang Li
|
Chenliang Li
|
Jun Tan
|
Rong Xiao
|
Hongbo Deng
Toward User Engagement Optimization in 2D Presentation
Liang Wu
|
Mihajlo Grbovic
|
Jundong Li
Temporal Meta-path Guided Explainable Recommendation
Hongxu Chen
|
Yicong Li
|
Xiangguo Sun
|
Guandong Xu
|
Hongzhi Yin
WoMG: A Library for Word-of-Mouth Cascades Generation
Federico Cinus
|
Francesco Bonchi
|
Corrado Monti
|
André Panisson
All the Wiser: Fake News Intervention Using User Reading Preferences
Kuan-Chieh Lo
|
Shih-Chieh Dai
|
Aiping Xiong
|
Jing Jiang
|
Lun-Wei Ku
Community Connect: A Mock Social Media Platform to Study Online Behavior
Khyati Mahajan
|
Sourav Roy Choudhury
|
Sara Levens
|
Tiffany Gallicano
|
Samira Shaikh
Exploring Personal Knowledge Extraction from Conversations with CHARM
Anna Tigunova
|
Paramita Mirza
|
Andrew Yates
|
Gerhard Weikum
Real-time Streaming of Gait Assessment for Parkinson's Disease
Cristopher Flagg
|
Ophir Frieder
|
Sean MacAvaney
|
Gholam Motamedi
AttentionFlow: Visualising Influence in Networks of Time Series
Minjeong Shin
|
Alasdair Tran
|
Siqi Wu
|
Alexander Patrick Mathews
|
Rong Wang
|
Georgiana Lyall
|
Lexing Xie
Providing Actionable Feedback in Hiring Marketplaces using Generative Adversarial Networks
Daniel Nemirovsky
|
Nicolas Thiebaut
|
Ye Xu
|
Abhishek Gupta
Privacy Monitoring Service for Conversations
Qiongkai Xu
|
Chenchen Xu
|
Lizhen Qu
Evently: Modeling and Analyzing Reshare Cascades with Hawkes Processes
Quyu Kong
|
Rohit Ram
|
Marian-Andrei Rizoiu
A Semantic Layer Querying Tool
Renato Stoffalette João
Data-Sharing Economy: Value-Addition from Data meets Privacy
Piyush Bagad
|
Subrata Mitra
|
Sunny Dhamnani
|
Atanu R. Sinha
|
Raunak Gautam
|
Haresh Khanna
Multilingual and Multimodal Hate Speech Analysis in Twitter
Gretel Liz De la Peña Sarracén
Deep Recommender Systems Utilizing Side Information
Amit Livne
Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains
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