ACM International Conference on Information and Knowledge Management (2018)
Proceedings of the CIKM 2018 Workshops co-located with 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, October 22, 2018
2nd International Workshop on Rumours and Deception in Social Media: Preface
Ahmet Aker
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Arkaitz Zubiaga
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Kalina Bontcheva
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Maria Liakata
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Rob Procter
6th International Workshop on News Recommendation and Analytics (INRA 2018)
Özlem Özgöbek
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Benjamin Kille
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Jon Atle Gulla
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Martha A. Larson
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Andreas Lommatzsch
A Crowd-powered Model for Identifying Negative Citations
Sujoy Chatterjee
A Framework for Building Chat-based Recommender Systems
Fedelucio Narducci
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Pierpaolo Basile
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Andrea Iovine
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Marco de Gemmis
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Pasquale Lops
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Giovanni Semeraro
A Relation Extraction Approach for Clinical Decision Support
Maristella Agosti
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Giorgio Maria Di Nunzio
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Stefano Marchesin
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Gianmaria Silvello
A User Experience Model for Privacy and Context Aware Over-the-Top (OTT) TV Recommendations
Valentino Servizi
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Sokol Kosta
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Allan Hammershøj
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Henning Olesen
A Virtual Teaching Assistant for Personalized Learning
Luca Benedetto
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Paolo Cremonesi
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Manuel Parenti
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
Dominik Kowald
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Emanuel Lacic
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Dieter Theiler
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Elisabeth Lex
Argumentation-Driven Information Extraction for Online Crime Reports
Marijn Schraagen
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Daphne Odekerken
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Bas Testerink
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Floris Bex
Automated Fact Checking
Andreas Vlachos
CIKM 2018 Workshops: Preface
Alfredo Cuzzocrea
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Francesco Bonchi
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Dimitrios Gunopulos
Characterizing the Public Perception of WhatsApp through the Lens of Media
Josemar Alves Caetano
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Gabriel Magno
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Evandro Cunha
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Wagner Meira Jr.
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Humberto Torres Marques-Neto
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Virgílio A. F. Almeida
Clustering Enhancement for a Token-Based Recommender
Ville Ollikainen
Concept Hierarchy Extraction from Legal Literature
Sabine Wehnert
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David Broneske
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Stefan Langer
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Gunter Saake
Constructing CP-Nets from Users Past Behaviors
Reza Khoshkangini
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Maria Silvia Pini
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Francesca Rossi
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Dinh Tran-Van
Data Security and Privacy on Intelligent Environments
Leandro Marín
Deep Ensemble Learning for Legal Query Understanding
Arunprasath Shankar
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Venkata Nagaraju Buddarapu
Defining Contextual Factors for News Consumption
Benjamin Kille
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Özlem Özgöbek
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Andreas Lommatzsch
Disseminating Synthetic Smart Home Data for Advanced Applications
Andrea Masciadri
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Fabio Veronese
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Sara Comai
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Ilaria Carlini
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Fabio Salice
Enhancing Privacy Awareness in Online Social Networks: a Knowledge-Driven Approach
Ruggero G. Pensa
Exploring Summary-Expanded Entity Embeddings for Entity Retrieval
Shahrzad Naseri
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John Foley
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James Allan
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Brendan T. O'Connor
FTR-18: Collecting Rumours on Football Transfer News
Danielle Caled
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Mário J. Silva
Generating Rule Suggestions in PBE Data Transformations
Kuldeep Reddy
Graph Analytical Re-Ranking for Entity Search
Takahiro Komamizu
How Many Truth Levels? Six? One Hundred? Even More? Validating Truthfulness of Statements via Crowdsourcing
Kevin Roitero
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Gianluca Demartini
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Stefano Mizzaro
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Damiano Spina
International Workshop on Legal Data Analytics and Mining (LeDAM 2018): Preface to the Proceedings
Arindam Pal
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Arnab Bhattacharya
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Indrajit Bhattacharya
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Kripabandhu Ghosh
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Lipika Dey
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Marie-Francine Moens
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Saptarshi Ghosh
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao
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Gaole He
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Hongjian Dou
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Jin Huang
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Siqi Ouyang
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Ji-Rong Wen
Kids Computer Interaction with a Focus on Story Telling and Educational Robotics
Cristina Gena
Knowledge-Driven Analytics and Sensor Signal Processing in Human-Centric Applications
Arijit Ukil
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Leandro Marín Muñoz
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Antonio Jara
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John R. Farserotu
Knowledge-Driven Analytics Impacting Human Quality Of Life
Arijit Ukil
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Leandro Marín
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Antonio Jara
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John R. Farserotu
Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection
Kirill Skorniakov
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Denis Turdakov
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Andrey Zhabotinsky
Modeling the Fake News Challenge as a Cross-Level Stance Detection Task
Costanza Conforti
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Mohammad Taher Pilehvar
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Nigel Collier
Multidimensional News Quality: A Comparison of Crowdsourcing and Nichesourcing
Eddy Maddalena
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Davide Ceolin
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Stefano Mizzaro
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
Emanuel Lacic
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Dominik Kowald
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Elisabeth Lex
Neural Educational Recommendation Engine (NERE)
Moin Nadeem
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Dustin Stansbury
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Shane Mooney
News Recommendation and Filter Bubble
Jianan Yao
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Alexander G. Hauptmann
On the Predictability of Non-CGM Diabetes Data for Personalized Recommendation
Tu Nguyen
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Markus Rokicki
Predicting Tomorrow's Headline using Twitter Deliberations
Roshni Chakraborty
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Abhijeet Kharat
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Apalak Khatua
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Sourav Kumar Dandapat
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Joydeep Chandra
Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018)
Ludovico Boratto
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Stefano Faralli
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Christian Morbidoni
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Gabriella Pasi
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Giovanni Stilo
Query Embedding Learning for Context-based Social Search
Cheng-Te Li
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Yi-Chun Chen
RARE : A Recurrent Attentive Recommendation Engine for News Aggregators
Dhruv Khattar
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Vaibhav Kumar
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Shashank Gupta
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Manish Gupta
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Vasudeva Varma
Random Projection to Preserve Patient Privacy
Aris Anagnostopoulos
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Fabio Angeletti
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Federico Arcangeli
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Chris Schwiegelshohn
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Andrea Vitaletti
Stance Classification for Rumour Analysis in Twitter: Exploiting Affective Information and Conversation Structure
Endang Wahyu Pamungkas
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Valerio Basile
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Viviana Patti
Structural Analysis of Contract Renewals
Frieda Josi
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Christian Wartena
Supporting OLAP-Based Big Data Analytics over Data-Intensive Business Processes: Issues, Models, Proposals, and a Real-Life Framework
Alfredo Cuzzocrea
The Challenge of Personal Attribute Preferences in Recommending Diverse, Reliable News Sources
Brooke Auxier
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Jennifer Golbeck
Toward Semantic Assessment of Vulnerability Severity: A Text Mining Approach
Yongjae Lee
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Seungwon Shin
Understanding Characteristics of Biased Sentences in News Articles
Sora Lim
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Adam Jatowt
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Masatoshi Yoshikawa
Use of Interpersonal Deception Theory in Counter Social Engineering
Grace Hui Yang
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Yue Yu
Use of LSTM for Short-Term and Long-Term Travel Time Prediction
Irem Islek
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Sule Gündüz Ögüdücü
Use of Pseudo Relevance Feedback for Patent Clustering with Fuzzy CMeans
Noushin Fadaei
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Thomas Mandl
User Profile Ontology to Support Personalisation for E-Coaching Systems
Puspa Pratiwi
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Yue Xu
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Yuefeng Li
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Stewart G. Trost
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Kelly M. Clanchy
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Dian Tjondronegoro
Using Metadata for Locating Genomic Datasets on a Global Scale
Anna Bernasconi
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
Alexa and Her Shopping Journey
Yoelle Maarek
Shifting Information Interactions
Maarten de Rijke
Teaching Artificial Agents to Understand Language by Modelling Reward
Edward Grefenstette
Multi-Source Pointer Network for Product Title Summarization
Fei Sun
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Peng Jiang
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Hanxiao Sun
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Changhua Pei
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Wenwu Ou
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Xiaobo Wang
Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data
Hongzuo Xu
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Yongjun Wang
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Li Cheng
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Yijie Wang
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Xingkong Ma
Neural Relational Topic Models for Scientific Article Analysis
Haoli Bai
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Zhuangbin Chen
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Michael R. Lyu
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Irwin King
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Zenglin Xu
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang
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Liangcai Gao
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Ke Yuan
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Zheng Gao
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Zhi Tang
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Xiaozhong Liu
The Range Skyline Query
Theodoros Tzouramanis
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Eleftherios Tiakas
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Apostolos N. Papadopoulos
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Yannis Manolopoulos
FA + TA FSA: Flexible Score Aggregation
Paolo Ciaccia
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Davide Martinenghi
FALCON: A Fast Drop-In Replacement of Citation KNN for Multiple Instance Learning
Shuai Yang
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Xipeng Shen
Secure Top-k Inner Product Retrieval
Zhilin Zhang
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Ke Wang
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Chen Lin
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Weipeng Lin
A Quest for Structure: Jointly Learning the Graph Structure and Semi-Supervised Classification
Xuan Wu
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Lingxiao Zhao
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Leman Akoglu
TGNet: Learning to Rank Nodes in Temporal Graphs
Qi Song
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Bo Zong
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Yinghui Wu
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Lu-An Tang
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Hui Zhang
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Guofei Jiang
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Haifeng Chen
Mining (maximal) Span-cores from Temporal Networks
Edoardo Galimberti
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Alain Barrat
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Francesco Bonchi
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Ciro Cattuto
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Francesco Gullo
REGAL: Representation Learning-based Graph Alignment
Mark Heimann
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Haoming Shen
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Tara Safavi
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Danai Koutra
Attention-based Adaptive Model to Unify Warm and Cold Starts Recommendation
Shaoyun Shi
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Min Zhang
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Yiqun Liu
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Shaoping Ma
CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks
Dong-Kyu Chae
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Jin-Soo Kang
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Sang-Wook Kim
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Jung-Tae Lee
ANR: Aspect-based Neural Recommender
Jin Yao Chin
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Kaiqi Zhao
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Shafiq R. Joty
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Gao Cong
An Attentive Interaction Network for Context-aware Recommendations
Lei Mei
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Pengjie Ren
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Zhumin Chen
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Liqiang Nie
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Jun Ma
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Jian-Yun Nie
Contrasting Search as a Learning Activity with Instructor-designed Learning
Felipe Moraes
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Sindunuraga Rikarno Putra
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Claudia Hauff
Towards Conversational Search and Recommendation: System Ask, User Respond
Yongfeng Zhang
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Xu Chen
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Qingyao Ai
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Liu Yang
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W. Bruce Croft
Effective User Interaction for High-Recall Retrieval: Less is More
Haotian Zhang
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Mustafa Abualsaud
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Nimesh Ghelani
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Mark D. Smucker
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Gordon V. Cormack
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Maura R. Grossman
RIN: Reformulation Inference Network for Context-Aware Query Suggestion
Jyun-Yu Jiang
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Wei Wang
Improving the Efficiency of Inclusion Dependency Detection
Nuhad Shaabani
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Christoph Meinel
Web Table Understanding by Collective Inference
San Kim
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Guoliang Li
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Jianhua Feng
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Kaiyu Li
A Content-Based Approach for Modeling Analytics Operators
Ioannis Giannakopoulos
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Dimitrios Tsoumakos
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Nectarios Koziris
Coarse-to-Fine Annotation Enrichment for Semantic Segmentation Learning
Yadan Luo
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Ziwei Wang
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Zi Huang
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Yang Yang
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Cong Zhao
Shared Embedding Based Neural Networks for Knowledge Graph Completion
Saiping Guan
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Xiaolong Jin
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Yuanzhuo Wang
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Xueqi Cheng
Knowledge Graph Completion by Context-Aware Convolutional Learning with Multi-Hop Neighborhoods
Byungkook Oh
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Seungmin Seo
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Kyong-Ho Lee
Smooth q-Gram, and Its Applications to Detection of Overlaps among Long, Error-Prone Sequencing Reads
Haoyu Zhang
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Qin Zhang
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Haixu Tang
Multi-View Group Anomaly Detection
Hongtao Wang
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Pan Su
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Miao Zhao
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Hongmei Wang
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Gang Li
Detecting Outliers in Data with Correlated Measures
Yu-Hsuan Kuo
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Zhenhui Li
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Daniel Kifer
Insights from the Long-Tail: Learning Latent Representations of Online User Behavior in the Presence of Skew and Sparsity
Adit Krishnan
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Ashish Sharma
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Hari Sundaram
Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information
Madhav Nimishakavi
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Bamdev Mishra
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Manish Gupta
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Partha Pratim Talukdar
Online Learning for Non-Stationary A/B Tests
Andrés Muñoz Medina
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Sergei Vassilvitskii
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Dong Yin
MEgo2Vec: Embedding Matched Ego Networks for User Alignment Across Social Networks
Jing Zhang
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Bo Chen
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Xianming Wang
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Hong Chen
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Cuiping Li
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Fengmei Jin
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Guojie Song
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Yutao Zhang
Learning User Preferences and Understanding Calendar Contexts for Event Scheduling
Donghyeon Kim
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Jinhyuk Lee
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Donghee Choi
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Jaehoon Choi
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Jaewoo Kang
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention
Songwei Ge
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Zhicheng Dou
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Zhengbao Jiang
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Jian-Yun Nie
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Ji-Rong Wen
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
Junliang Yu
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Min Gao
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Jundong Li
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Hongzhi Yin
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Huan Liu
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum
Adam Tsakalidis
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Nikolaos Aletras
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Alexandra I. Cristea
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Maria Liakata
Inferring Probabilistic Contagion Models Over Networks Using Active Queries
Abhijin Adiga
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Vanessa Cedeno-Mieles
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Chris J. Kuhlman
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Madhav V. Marathe
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S. S. Ravi
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Daniel J. Rosenkrantz
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Richard Edwin Stearns
Trustworthy Experimentation Under Telemetry Loss
Jayant Gupchup
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Yasaman Hosseinkashi
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Pavel A. Dmitriev
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Daniel Schneider
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Ross Cutler
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Andrei Jefremov
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Martin Ellis
When Rank Order Isn't Enough: New Statistical-Significance-Aware Correlation Measures
Mücahid Kutlu
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Tamer Elsayed
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Maram Hasanain
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Matthew Lease
On Building Fair and Reusable Test Collections using Bandit Techniques
Ellen M. Voorhees
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems
Hongwei Wang
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Fuzheng Zhang
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Jialin Wang
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Miao Zhao
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Wenjie Li
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Xing Xie
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Minyi Guo
Exploiting Structural and Temporal Evolution in Dynamic Link Prediction
Huiyuan Chen
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Jing Li
Are Meta-Paths Necessary?: Revisiting Heterogeneous Graph Embeddings
Rana Hussein
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Dingqi Yang
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Philippe Cudré-Mauroux
Distribution Distance Minimization for Unsupervised User Identity Linkage
Chaozhuo Li
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Senzhang Wang
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Philip S. Yu
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Lei Zheng
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Xiaoming Zhang
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Zhoujun Li
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Yanbo Liang
Short Text Entity Linking with Fine-grained Topics
Lihan Chen
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Jiaqing Liang
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Chenhao Xie
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Yanghua Xiao
StuffIE: Semantic Tagging of Unlabeled Facets Using Fine-Grained Information Extraction
Radityo Eko Prasojo
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Mouna Kacimi
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Werner Nutt
PSLSH: An Index Structure for Efficient Execution of Set Queries in High-Dimensional Spaces
Parth Nagarkar
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K. Selçuk Candan
GYANI: An Indexing Infrastructure for Knowledge-Centric Tasks
Dhruv Gupta
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Klaus Berberich
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing
Hamed Zamani
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Mostafa Dehghani
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W. Bruce Croft
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Erik G. Learned-Miller
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Jaap Kamps
ChangeDAR: Online Localized Change Detection for Sensor Data on a Graph
Bryan Hooi
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Leman Akoglu
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Dhivya Eswaran
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Amritanshu Pandey
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Marko Jereminov
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Larry T. Pileggi
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Christos Faloutsos
Adversarial Training Model Unifying Feature Driven and Point Process Perspectives for Event Popularity Prediction
Qitian Wu
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Chaoqi Yang
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Hengrui Zhang
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Xiaofeng Gao
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Paul Weng
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Guihai Chen
Learning under Feature Drifts in Textual Streams
Damianos P. Melidis
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Myra Spiliopoulou
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Eirini Ntoutsi
CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion
Avirup Saha
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Bidisha Samanta
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Niloy Ganguly
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Abir De
Finding a Dense Subgraph with Sparse Cut
Atsushi Miyauchi
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Naonori Kakimura
Signed Network Modeling Based on Structural Balance Theory
Tyler Derr
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Charu C. Aggarwal
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Jiliang Tang
On Rich Clubs of Path-Based Centralities in Networks
Soumya Sarkar
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Sanjukta Bhowmick
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Animesh Mukherjee
VTeller: Telling the Values Somewhere, Sometime in a Dynamic Network of Urban Systems
Yan Li
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Tingjian Ge
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Cindy X. Chen
Open-Schema Event Profiling for Massive News Corpora
Quan Yuan
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Xiang Ren
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Wenqi He
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Chao Zhang
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Xinhe Geng
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Lifu Huang
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Heng Ji
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Chin-Yew Lin
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Jiawei Han
Newsfeed Filtering and Dissemination for Behavioral Therapy on Social Network Addictions
Hong-Han Shuai
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Yen-Chieh Lien
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De-Nian Yang
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Yi-Feng Lan
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Wang-Chien Lee
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Philip S. Yu
Hierarchical Modeling and Shrinkage for User Session LengthPrediction in Media Streaming
Antoine Dedieu
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Rahul Mazumder
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Zhen Zhu
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Hossein Vahabi
Question Headline Generation for News Articles
Ruqing Zhang
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Jiafeng Guo
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Yixing Fan
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Yanyan Lan
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Jun Xu
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Huanhuan Cao
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Xueqi Cheng
Relevance Estimation with Multiple Information Sources on Search Engine Result Pages
Junqi Zhang
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Yiqun Liu
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Shaoping Ma
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Qi Tian
JIM: Joint Influence Modeling for Collective Search Behavior
Shubhra Kanti Karmaker Santu
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Liangda Li
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Yi Chang
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ChengXiang Zhai
Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension
Kyosuke Nishida
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Itsumi Saito
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Atsushi Otsuka
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Hisako Asano
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Junji Tomita
Bug Localization by Learning to Rank and Represent Bug Inducing Changes
Pablo Loyola
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Kugamoorthy Gajananan
|
Fumiko Satoh
CoNet: Collaborative Cross Networks for Cross-Domain Recommendation
Guangneng Hu
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Yu Zhang
|
Qiang Yang
PARL: Let Strangers Speak Out What You Like
Libing Wu
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Cong Quan
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Chenliang Li
|
Donghong Ji
Regularizing Matrix Factorization with User and Item Embeddings for Recommendation
Thanh Tran
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Kyumin Lee
|
Yiming Liao
|
Dongwon Lee
Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence
Chen Ma
|
Yingxue Zhang
|
Qinglong Wang
|
Xue Liu
Meta-Analysis for Retrieval Experiments Involving Multiple Test Collections
Ian Soboroff
Presentation Ordering Effects On Assessor Agreement
Tadele Tedla Damessie
|
J. Shane Culpepper
|
Jaewon Kim
|
Falk Scholer
Understanding Reading Attention Distribution during Relevance Judgement
Xiangsheng Li
|
Yiqun Liu
|
Jiaxin Mao
|
Zexue He
|
Min Zhang
|
Shaoping Ma
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare
Fenglong Ma
|
Quanzeng You
|
Houping Xiao
|
Radha Chitta
|
Jing Zhou
|
Jing Gao
"Let Me Tell You About Your Mental Health!": Contextualized Classification of Reddit Posts to DSM-5 for Web-based Intervention
Manas Gaur
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Ugur Kursuncu
|
Amanuel Alambo
|
Amit P. Sheth
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Raminta Daniulaityte
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Krishnaprasad Thirunarayan
|
Jyotishman Pathak
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
|
Ting Chen
|
Wenjun Wu
|
Yizhou Sun
|
Majid Sarrafzadeh
"Bridge": Enhanced Signed Directed Network Embedding
Yiqi Chen
|
Tieyun Qian
|
Huan Liu
|
Ke Sun
Semi-Supervised Multi-Label Feature Selection by Preserving Feature-Label Space Consistency
Yuanyuan Xu
|
Jun Wang
|
Shuai An
|
Jinmao Wei
|
Jianhua Ruan
COPA: Constrained PARAFAC2 for Sparse & Large Datasets
Ardavan Afshar
|
Ioakeim Perros
|
Evangelos E. Papalexakis
|
Elizabeth Searles
|
Joyce C. Ho
|
Jimeng Sun
The Impact of Name-Matching and Blocking on Author Disambiguation
Tobias Backes
Parallel Hashing Using Representative Points in Hyperoctants
Chaomin Shen
|
Mixue Yu
|
Chenxiao Zhao
|
Yaxin Peng
|
Guixu Zhang
PRRE: Personalized Relation Ranking Embedding for Attributed Networks
Sheng Zhou
|
Hongxia Yang
|
Xin Wang
|
Jiajun Bu
|
Martin Ester
|
Pinggang Yu
|
Jianwei Zhang
|
Can Wang
Heterogeneous Neural Attentive Factorization Machine for Rating Prediction
Liang Chen
|
Yang Liu
|
Zibin Zheng
|
Philip S. Yu
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Balázs Hidasi
|
Alexandros Karatzoglou
Interactions Modeling in Multi-Task Multi-View Learning with Consistent Task Diversity
Xiaoli Li
|
Jun Huan
Distinguishing Trajectories from Different Drivers using Incompletely Labeled Trajectories
Tung Kieu
|
Bin Yang
|
Chenjuan Guo
|
Christian S. Jensen
Modeling Sequential Online Interactive Behaviors with Temporal Point Process
Renqin Cai
|
Xueying Bai
|
Zhenrui Wang
|
Yuling Shi
|
Parikshit Sondhi
|
Hongning Wang
Towards Practical Open Knowledge Base Canonicalization
Tien-Hsuan Wu
|
Zhiyong Wu
|
Ben Kao
|
Pengcheng Yin
Semantically-Enhanced Topic Modeling
Felipe Viegas
|
Washington Luiz
|
Christian Gomes
|
Amir Khatibi
|
Sérgio D. Canuto
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Fernando Mourão
|
Thiago Salles
|
Leonardo Rocha
|
Marcos André Gonçalves
METIC: Multi-Instance Entity Typing from Corpus
Bo Xu
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Zheng Luo
|
Luyang Huang
|
Bin Liang
|
Yanghua Xiao
|
Deqing Yang
|
Wei Wang
Semi-supervised Learning on Graphs with Generative Adversarial Nets
Ming Ding
|
Jie Tang
|
Jie Zhang
Mining Frequent Patterns in Evolving Graphs
Çigdem Aslay
|
Muhammad Anis Uddin Nasir
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Gianmarco De Francisci Morales
|
Aristides Gionis
Multiresolution Graph Attention Networks for Relevance Matching
Ting Zhang
|
Bang Liu
|
Di Niu
|
Kunfeng Lai
|
Yu Xu
Rumor Detection with Hierarchical Social Attention Network
Han Guo
|
Juan Cao
|
Yazi Zhang
|
Junbo Guo
|
Jintao Li
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation
Jiawei Chen
|
Yan Feng
|
Martin Ester
|
Sheng Zhou
|
Chun Chen
|
Can Wang
Exploring People's Attitudes and Behaviors Toward Careful Information Seeking in Web Search
Takehiro Yamamoto
|
Yusuke Yamamoto
|
Sumio Fujita
Dataless Text Classification: A Topic Modeling Approach with Document Manifold
Ximing Li
|
Changchun Li
|
Jinjin Chi
|
Jihong Ouyang
|
Chenliang Li
Weakly-Supervised Neural Text Classification
Yu Meng
|
Jiaming Shen
|
Chao Zhang
|
Jiawei Han
Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading
Smit Marvaniya
|
Swarnadeep Saha
|
Tejas I. Dhamecha
|
Peter Foltz
|
Renuka Sindhgatta
|
Bikram Sengupta
Probabilistic Causal Analysis of Social Influence
Francesco Bonchi
|
Francesco Gullo
|
Bud Mishra
|
Daniele Ramazzotti
Adversarial Learning of Answer-Related Representation for Visual Question Answering
Yun Liu
|
Xiaoming Zhang
|
Feiran Huang
|
Zhoujun Li
Stochastic Coupon Probing in Social Networks
Shaojie Tang
Type Prediction Combining Linked Open Data and Social Media
Yaroslav Nechaev
|
Francesco Corcoglioniti
|
Claudio Giuliano
Efficient and Reliable Estimation of Cell Positions
Mirela T. Cazzolato
|
Agma J. M. Traina
|
Klemens Böhm
On Real-time Detecting Passenger Flow Anomalies
Bo Tang
|
Hongyin Tang
|
Xinzhou Dong
|
Beihong Jin
|
Tingjian Ge
A Novel Online Stacked Ensemble for Multi-Label Stream Classification
Alican Büyükçakir
|
Hamed R. Bonab
|
Fazli Can
RESTFul: Resolution-Aware Forecasting of Behavioral Time Series Data
Xian Wu
|
Baoxu Shi
|
Yuxiao Dong
|
Chao Huang
|
Louis Faust
|
Nitesh V. Chawla
Zoom-SVD: Fast and Memory Efficient Method for Extracting Key Patterns in an Arbitrary Time Range
Jun-Gi Jang
|
Dongjin Choi
|
Jinhong Jung
|
U Kang
Disk-based Matrix Completion for Memory Limited Devices
Dongha Lee
|
Jinoh Oh
|
Christos Faloutsos
|
Byungju Kim
|
Hwanjo Yu
Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification
Yong Zhuang
|
Yu-Chin Juan
|
Guo-Xun Yuan
|
Chih-Jen Lin
CUSNTF: A Scalable Sparse Non-negative Tensor Factorization Model for Large-scale Industrial Applications on Multi-GPU
Hao Li
|
Kenli Li
|
Ji-yao An
|
Keqin Li
DiVE: Diversifying View Recommendation for Visual Data Exploration
Rischan Mafrur
|
Mohamed A. Sharaf
|
Hina A. Khan
Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty
Mengting Wan
|
Di Wang
|
Jie Liu
|
Paul Bennett
|
Julian J. McAuley
Recommendation Through Mixtures of Heterogeneous Item Relationships
Wang-Cheng Kang
|
Mengting Wan
|
Julian J. McAuley
Fairness-Aware Tensor-Based Recommendation
Ziwei Zhu
|
Xia Hu
|
James Caverlee
Generating Keyword Queries for Natural Language Queries to Alleviate Lexical Chasm Problem
Xiaoyu Liu
|
Shunda Pan
|
Qi Zhang
|
Yu-Gang Jiang
|
Xuanjing Huang
Attentive Neural Architecture for Ad-hoc Structured Document Retrieval
Saeid Balaneshinkordan
|
Alexander Kotov
|
Fedor Nikolaev
Measuring User Satisfaction on Smart Speaker Intelligent Assistants Using Intent Sensitive Query Embeddings
Seyyed Hadi Hashemi
|
Kyle Williams
|
Ahmed El Kholy
|
Imed Zitouni
|
Paul A. Crook
Impact of Domain and User's Learning Phase on Task and Session Identification in Smart Speaker Intelligent Assistants
Seyyed Hadi Hashemi
|
Kyle Williams
|
Ahmed El Kholy
|
Imed Zitouni
|
Paul A. Crook
Engineering a Simplified 0-Bit Consistent Weighted Sampling
Edward Raff
|
Jared Sylvester
|
Charles Nicholas
A Scalable Algorithm for Higher-order Features Generation using MinHash
Pooja A
|
Naveen Nair
|
Rajeev Rastogi
Multiperspective Graph-Theoretic Similarity Measure
Dung D. Le
|
Hady W. Lauw
Explicit Preference Elicitation for Task Completion Time
Mohammadreza Esfandiari
|
Senjuti Basu Roy
|
Sihem Amer-Yahia
Network-wide Crowd Flow Prediction of Sydney Trains via Customized Online Non-negative Matrix Factorization
Yongshun Gong
|
Zhibin Li
|
Jian Zhang
|
Wei Liu
|
Yu Zheng
|
Christina Kirsch
Studying Topical Relevance with Evidence-based Crowdsourcing
Oana Inel
|
Giannis Haralabopoulos
|
Dan Li
|
Christophe Van Gysel
|
Zoltán Szlávik
|
Elena Simperl
|
Evangelos Kanoulas
|
Lora Aroyo
Randomized Bit Vector: Privacy-Preserving Encoding Mechanism
Lin Sun
|
Lan Zhang
|
Xiaojun Ye
Privacy Protection for Flexible Parametric Survival Models
Thông T. Nguyên
|
Siu Cheung Hui
Privacy-Preserving Triangle Counting in Large Graphs
Xiaofeng Ding
|
Xiaodong Zhang
|
Zhifeng Bao
|
Hai Jin
Differentiable Unbiased Online Learning to Rank
Harrie Oosterhuis
|
Maarten de Rijke
A Quantum Many-body Wave Function Inspired Language Modeling Approach
Peng Zhang
|
Zhan Su
|
Lipeng Zhang
|
Benyou Wang
|
Dawei Song
The LambdaLoss Framework for Ranking Metric Optimization
Xuanhui Wang
|
Cheng Li
|
Nadav Golbandi
|
Michael Bendersky
|
Marc Najork
PolyHJ: A Polymorphic Main-Memory Hash Join Paradigm for Multi-Core Machines
Omar Khattab
|
Mohammad Hammoud
|
Omar Shekfeh
When Optimizer Chooses Table Scans: How to Make Them More Responsive
Lijian Wan
|
Tingjian Ge
Construction of Efficient V-Gram Dictionary for Sequential Data Analysis
Igor Kuralenok
|
Natalia Starikova
|
Aleksandr Khvorov
|
Julian Serdyuk
Neural Collaborative Ranking
Bo Song
|
Xin Yang
|
Yi Cao
|
Congfu Xu
Collaborative Multi-objective Ranking
Jun Hu
|
Ping Li
Mix 'n Match: Integrating Text Matching and Product Substitutability within Product Search
Christophe Van Gysel
|
Maarten de Rijke
|
Evangelos Kanoulas
In Situ and Context-Aware Target Apps Selection for Unified Mobile Search
Mohammad Aliannejadi
|
Hamed Zamani
|
Fabio Crestani
|
W. Bruce Croft
Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection
Fanghua Ye
|
Chuan Chen
|
Zibin Zheng
Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation
Xisen Jin
|
Wenqiang Lei
|
Zhaochun Ren
|
Hongshen Chen
|
Shangsong Liang
|
Yihong Zhao
|
Dawei Yin
On Prediction of User Destination by Sub-Trajectory Understanding: A Deep Learning based Approach
Jing Zhao
|
Jiajie Xu
|
Rui Zhou
|
Pengpeng Zhao
|
Chengfei Liu
|
Feng Zhu
DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction
Chao Huang
|
Junbo Zhang
|
Yu Zheng
|
Nitesh V. Chawla
Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising
Kan Ren
|
Yuchen Fang
|
Weinan Zhang
|
Shuhao Liu
|
Jiajun Li
|
Ya Zhang
|
Yong Yu
|
Jun Wang
Budget Constrained Bidding by Model-free Reinforcement Learning in Display Advertising
Di Wu
|
Xiujun Chen
|
Xun Yang
|
Hao Wang
|
Qing Tan
|
Xiaoxun Zhang
|
Jian Xu
|
Kun Gai
Deep Semantic Hashing with Multi-Adversarial Training
Bingning Wang
|
Kang Liu
|
Jun Zhao
Communication-Efficient Distributed Deep Metric Learning with Hybrid Synchronization
Yuxin Su
|
Michael R. Lyu
|
Irwin King
A Dynamical System on Bipartite Graphs
Kishore Papineni
|
Pratik Worah
Abnormal Event Detection via Heterogeneous Information Network Embedding
Shaohua Fan
|
Chuan Shi
|
Xiao Wang
AceKG: A Large-scale Knowledge Graph for Academic Data Mining
Ruijie Wang
|
Yuchen Yan
|
Jialu Wang
|
Yuting Jia
|
Ye Zhang
|
Weinan Zhang
|
Xinbing Wang
An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering
Adit Krishnan
|
Ashish Sharma
|
Aravind Sankar
|
Hari Sundaram
AQuPR: Attention based Query Passage Retrieval
Parth Pathak
|
Mithun Das Gupta
|
Niranjan Nayak
|
Harsh Kohli
Attentive Encoder-based Extractive Text Summarization
Chong Feng
|
Fei Cai
|
Honghui Chen
|
Maarten de Rijke
Calibration: A Simple Way to Improve Click Models
Alexey Borisov
|
Julia Kiseleva
|
Ilya Markov
|
Maarten de Rijke
Can User Behaviour Sequences Reflect Perceived Novelty?
Mengdie Zhuang
|
Elaine G. Toms
|
Gianluca Demartini
Causal Dependencies for Future Interest Prediction on Twitter
Negar Arabzadeh
|
Hossein Fani
|
Fattane Zarrinkalam
|
Ahmed Navivala
|
Ebrahim Bagheri
Challenges of Multileaved Comparison in Practice: Lessons from NTCIR-13 OpenLiveQ Task
Makoto P. Kato
|
Tomohiro Manabe
|
Sumio Fujita
|
Akiomi Nishida
|
Takehiro Yamamoto
Compiling Questions into Balanced Quizzes about Documents
Cristina Menghini
|
Jessica Dehler-Zufferey
|
Robert West
Continuation Methods and Curriculum Learning for Learning to Rank
Nicola Ferro
|
Claudio Lucchese
|
Maria Maistro
|
Raffaele Perego
Correlated Time Series Forecasting using Multi-Task Deep Neural Networks
Razvan-Gabriel Cirstea
|
Darius-Valer Micu
|
Gabriel-Marcel Muresan
|
Chenjuan Guo
|
Bin Yang
Cross-domain Aspect/Sentiment-aware Abstractive Review Summarization
Min Yang
|
Qiang Qu
|
Jia Zhu
|
Ying Shen
|
Zhou Zhao
Data Structure for Efficient Line of Sight Queries
Swapnil Gaikwad
|
Melody Moh
|
David C. Anastasiu
Detecting Parkinson's Disease from Interactions with a Search Engine: Is Expert Knowledge Sufficient?
Liron I. Allerhand
|
Brit Youngmann
|
Elad Yom-Tov
|
David Arkadir
DualBoost: Handling Missing Values with Feature Weights and Weak Classifiers that Abstain
Weihong Wang
|
Jie Xu
|
Yang Wang
|
Chen Cai
|
Fang Chen
An Effective Approach for Modelling Time Features for Classifying Bursty Topics on Twitter
Anjie Fang
|
Iadh Ounis
|
Craig MacDonald
|
Philip Habel
|
Xiaoyu Xiong
|
Haitao Yu
Efficient and Effective Query Expansion for Web Search
Claudio Lucchese
|
Franco Maria Nardini
|
Raffaele Perego
|
Roberto Trani
|
Rossano Venturini
Efficient Energy Management in Distributed Web Search
Matteo Catena
|
Ophir Frieder
|
Nicola Tonellotto
Efficient Pipeline Processing of Crowdsourcing Workflows
Ken Mizusawa
|
Keishi Tajima
|
Masaki Matsubara
|
Toshiyuki Amagasa
|
Atsuyuki Morishima
Efficient Taxonomic Similarity Joins with Adaptive Overlap Constraint
Pengfei Xu
|
Jiaheng Lu
Embedding Fuzzy K-Means with Nonnegative Spectral Clustering via Incorporating Side Information
Muhan Guo
|
Rui Zhang
|
Feiping Nie
|
Xuelong Li
Empirical Evidence for Search Effectiveness Models
Alfan Farizki Wicaksono
|
Alistair Moffat
An Encoder-Memory-Decoder Framework for Sub-Event Detection in Social Media
Guandan Chen
|
Nan Xu
|
Wenji Mao
Enhanced Network Embeddings via Exploiting Edge Labels
Haochen Chen
|
Xiaofei Sun
|
Yingtao Tian
|
Bryan Perozzi
|
Muhao Chen
|
Steven Skiena
Enhancing Graph Kernels via Successive Embeddings
Giannis Nikolentzos
|
Michalis Vazirgiannis
Estimating Clickthrough Bias in the Cascade Model
Praveen Chandar
|
Ben Carterette
Exploring Neural Translation Models for Cross-Lingual Text Similarity
Kazuhiro Seki
Extracting Figures and Captions from Scientific Publications
Pengyuan Li
|
Xiangying Jiang
|
Hagit Shatkay
FactCheck: Validating RDF Triples Using Textual Evidence
Zafar Habeeb Syed
|
Michael Röder
|
Axel-Cyrille Ngonga Ngomo
Hierarchical Complementary Attention Network for Predicting Stock Price Movements with News
Qikai Liu
|
Xiang Cheng
|
Sen Su
|
Shuguang Zhu
Holistic Crowd-Powered Sorting via AID: Optimizing for Accuracies, Inconsistencies, and Difficulties
Shreya Rajpal
|
Aditya G. Parameswaran
Homepage Augmentation by Predicting Links in Heterogenous Networks
Jianming Lv
|
Jiajie Zhong
|
Weihang Chen
|
Qinzhe Xiao
|
Zhenguo Yang
|
Qing Li
How Consistent is Relevance Feedback in Exploratory Search?
Alan Medlar
|
Dorota Glowacka
HRAM: A Hybrid Recurrent Attention Machine for News Recommendation
Dhruv Khattar
|
Vaibhav Kumar
|
Vasudeva Varma
|
Manish Gupta
A Hybrid Approach for Automatic Model Recommendation
Roman Vainshtein
|
Asnat Greenstein-Messica
|
Gilad Katz
|
Bracha Shapira
|
Lior Rokach
Hybrid Deep Sequential Modeling for Social Text-Driven Stock Prediction
Huizhe Wu
|
Wei Zhang
|
Weiwei Shen
|
Jun Wang
Imbalanced Sentiment Classification with Multi-Task Learning
Fangzhao Wu
|
Chuhan Wu
|
Junxin Liu
Impact of Document Representation on Neural Ad hoc Retrieval
Ebrahim Bagheri
|
Faezeh Ensan
|
Feras N. Al-Obeidat
Implementation Notes for the Soft Cosine Measure
Vít Novotný
Improve Network Embeddings with Regularization
Yi Zhang
|
Jianguo Lu
|
Ofer Shai
Improved and Robust Controversy Detection in General Web Pages Using Semantic Approaches under Large Scale Conditions
Jasper Linmans
|
Bob van de Velde
|
Evangelos Kanoulas
Improving Low-Rank Matrix Completion with Self-Expressiveness
Minsu Kwon
|
Han-Gyu Kim
|
Ho-Jin Choi
Incorporating Corporation Relationship via Graph Convolutional Neural Networks for Stock Price Prediction
Yingmei Chen
|
Zhongyu Wei
|
Xuanjing Huang
IntentsKB: A Knowledge Base of Entity-Oriented Search Intents
Darío Garigliotti
|
Krisztian Balog
Joint Dictionary Learning and Semantic Constrained Latent Subspace Projection for Cross-Modal Retrieval
Jianlong Wu
|
Zhouchen Lin
|
Hongbin Zha
K-core Minimization: An Edge Manipulation Approach
Weijie Zhu
|
Chen Chen
|
Xiaoyang Wang
|
Xuemin Lin
Label Propagation with Neural Networks
Aditya Pal
|
Deepayan Chakrabarti
Learning to Geolocalise Tweets at a Fine-Grained Level
Jorge David Gonzalez Paule
|
Yashar Moshfeghi
|
Craig Macdonald
|
Iadh Ounis
Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects
Vineeth Rakesh
|
Ruocheng Guo
|
Raha Moraffah
|
Nitin Agarwal
|
Huan Liu
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network
Binbin Hu
|
Chuan Shi
|
Wayne Xin Zhao
|
Tianchi Yang
Long-Term RNN: Predicting Hazard Function for Proactive Maintenance of Water Mains
Bin Liang
|
Zhidong Li
|
Yang Wang
|
Fang Chen
Low-Complexity Supervised Rank Fusion Models
André Mourão
|
João Magalhães
Mining & Summarizing E-petitions for Enhanced Understanding of Public Opinion
Shreshtha Mundra
|
Sachin Kumar
|
Manjira Sinha
|
Sandya Mannarswamy
MM: A new Framework for Multidimensional Evaluation of Search Engines
João R. M. Palotti
|
Guido Zuccon
|
Allan Hanbury
Modeling Consumer Buying Decision for Recommendation Based on Multi-Task Deep Learning
Qiaolin Xia
|
Peng Jiang
|
Fei Sun
|
Yi Zhang
|
Xiaobo Wang
|
Zhifang Sui
Modeling Multi-way Relations with Hypergraph Embedding
Chia-An Yu
|
Ching-Lun Tai
|
Tak-Shing Chan
|
Yi-Hsuan Yang
More than Threads: Identifying Related Email Messages
Noa Avigdor-Elgrabli
|
Roei Gelbhart
|
Irena Grabovitch-Zuyev
|
Ariel Raviv
MultiE: Multi-Task Embedding for Knowledge Base Completion
Zhao Zhang
|
Fuzhen Zhuang
|
Zheng-Yu Niu
|
Deqing Wang
|
Qing He
Multi-Emotion Category Improving Embedding for Sentiment Classification
Shuo Wang
|
Xiaofeng Meng
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering
Xiaofei Zhu
|
Khoi Duy Vo
|
Jiafeng Guo
|
Jiangwu Long
Multiple Pairwise Ranking with Implicit Feedback
Runlong Yu
|
Yunzhou Zhang
|
Yuyang Ye
|
Le Wu
|
Chao Wang
|
Qi Liu
|
Enhong Chen
Neighborhood Voting: A Novel Search Scheme for Hashing
Yan Xiao
|
Jiafeng Guo
|
Yanyan Lan
|
Jun Xu
|
Xueqi Cheng
A Network-embedding Based Method for Author Disambiguation
Jun Xu
|
Siqi Shen
|
Dongsheng Li
|
Yongquan Fu
Neural Retrieval with Partially Shared Embedding Spaces
Bo Li
|
Le Jia
An Option Gate Module for Sentence Inference on Machine Reading Comprehension
Xuming Lin
|
Ruifang Liu
|
Yiwei Li
Point Symmetry-based Deep Clustering
José G. Moreno
Predicting Personal Life Events from Streaming Social Content
Maryam Khodabakhsh
|
Hossein Fani
|
Fattane Zarrinkalam
|
Ebrahim Bagheri
Query Tracking for E-commerce Conversational Search: A Machine Comprehension Perspective
Yunlun Yang
|
Yu Gong
|
Xi Chen
Query Understanding via Entity Attribute Identification
Arash Dargahi Nobari
|
Arian Askari
|
Faegheh Hasibi
|
Mahmood Neshati
Ready for Use: Subject-Independent Movement Intention Recognition via a Convolutional Attention Model
Dalin Zhang
|
Lina Yao
|
Kaixuan Chen
|
Sen Wang
Recommender Systems with Characterized Social Regularization
Tzu-Heng Lin
|
Chen Gao
|
Yong Li
Recommending Serendipitous Items using Transfer Learning
Gaurav Pandey
|
Denis Kotkov
|
Alexander Semenov
A Recurrent Neural Network for Sentiment Quantification
Andrea Esuli
|
Alejandro Moreo Fernández
|
Fabrizio Sebastiani
Re-evaluating Embedding-Based Knowledge Graph Completion Methods
Farahnaz Akrami
|
Lingbing Guo
|
Wei Hu
|
Chengkai Li
Re-ranking Web Search Results for Better Fact-Checking: A Preliminary Study
Khaled Yasser
|
Mücahid Kutlu
|
Tamer Elsayed
Sci-Blogger: A Step Towards Automated Science Journalism
Raghuram Vadapalli
|
Bakhtiyar Syed
|
Nishant Prabhu
|
Balaji Vasan Srinivasan
|
Vasudeva Varma
Semi-Supervised Collaborative Learning for Social Spammer and Spam Message Detection in Microblogging
Fangzhao Wu
|
Chuhan Wu
|
Junxin Liu
A Sequential Neural Information Diffusion Model with Structure Attention
Zhitao Wang
|
Chengyao Chen
|
Wenjie Li
A Supervised Learning Framework for Prediction of Incompatible Herb Pair in Traditional Chinese Medicine
Jiajing Zhu
|
Yongguo Liu
|
Shangming Yang
|
Shuangqing Zhai
|
Zhang Yi
|
Chuanbiao Wen
TED-KISS: A Known-Item Speech Video Search Benchmark
Fan Fang
|
Bo-Wen Zhang
|
Xu-Cheng Yin
|
Hai-Xia Man
|
Fang Zhou
TEQUILA: Temporal Question Answering over Knowledge Bases
Zhen Jia
|
Abdalghani Abujabal
|
Rishiraj Saha Roy
|
Jannik Strötgen
|
Gerhard Weikum
Toward Automated Multiparty Privacy Conflict Detection
Haoti Zhong
|
Anna Cinzia Squicciarini
|
David J. Miller
Towards a Quantum-Inspired Framework for Binary Classification
Prayag Tiwari
|
Massimo Melucci
Towards Explainable Networked Prediction
Liangyue Li
|
Hanghang Tong
|
Huan Liu
Towards Partition-Aware Lifted Inference
Melisachew Wudage Chekol
|
Heiner Stuckenschmidt
Unsupervised Evaluation of Text Co-clustering Algorithms Using Neural Word Embeddings
François Role
|
Stanislas Morbieu
|
Mohamed Nadif
User Identification with Spatio-Temporal Awareness across Social Networks
Xing Gao
|
Wenli Ji
|
Yongjun Li
|
Yao Deng
|
Wei Dong
Using Word Embeddings for Information Retrieval: How Collection and Term Normalization Choices Affect Performance
Dwaipayan Roy
|
Debasis Ganguly
|
Sumit Bhatia
|
Srikanta Bedathur
|
Mandar Mitra
Variational Recurrent Model for Session-based Recommendation
Zhitao Wang
|
Chengyao Chen
|
Ke Zhang
|
Yu Lei
|
Wenjie Li
vec2Link: Unifying Heterogeneous Data for Social Link Prediction
Fan Zhou
|
Bangying Wu
|
Yi Yang
|
Goce Trajcevski
|
Kunpeng Zhang
|
Ting Zhong
W2E: A Worldwide-Event Benchmark Dataset for Topic Detection and Tracking
Tuan-Anh Hoang
|
Khoi Duy Vo
|
Wolfgang Nejdl
Weakly-Supervised Generative Adversarial Nets with Auxiliary Information for Wireless Coverage Estimation
Zhuo Li
|
Hongwei Wang
|
Miao Zhao
Weave&Rec: A Word Embedding based 3-D Convolutional Network for News Recommendation
Dhruv Khattar
|
Vaibhav Kumar
|
Vasudeva Varma
|
Manish Gupta
Word-Driven and Context-Aware Review Modeling for Recommendation
Qianqian Wang
|
Si Li
|
Guang Chen
ASTRO: A Datalog System for Advanced Stream Reasoning
Ariyam Das
|
Sahil M. Gandhi
|
Carlo Zaniolo
BBoxDB - A Scalable Data Store for Multi-Dimensional Big Data
Jan Kristof Nidzwetzki
|
Ralf Hartmut Güting
Beacon in the Dark: A System for Interactive Exploration of Large Email Corpora
Tim Repke
|
Ralf Krestel
|
Jakob Edding
|
Moritz Hartmann
|
Jonas Hering
|
Dennis Kipping
|
Hendrik Schmidt
|
Nico Scordialo
|
Alexander Zenner
CAPatternMiner: Mining Ship Collision Avoidance Behavior from AIS Trajectory Data
Po-Ruey Lei
|
Li-Pin Xiao
|
Yu Ting Wen
|
Wen-Chih Peng
CEC: Constraints based Explanation for Classifications
Daniel Deutch
|
Nave Frost
CurEx: A System for Extracting, Curating, and Exploring Domain-Specific Knowledge Graphs from Text
Michael Loster
|
Felix Naumann
|
Jan Ehmueller
|
Benjamin Feldmann
Demonstration of GenoMetric Query Language
Stefano Ceri
|
Arif Canakoglu
|
Andrea Gulino
|
Abdulrahman Kaitoua
|
Marco Masseroli
|
Luca Nanni
|
Pietro Pinoli
DEVES: Interactive Signal Analytics for Drug Safety
Tabassum Kakar
|
Xiao Qin
|
Andrew Schade
|
Brian McCarthy
|
Huy Quoc Tran
|
Brian Zylich
|
Elke A. Rundensteiner
|
Lane Harrison
|
Sanjay K. Sahoo
|
Suranjan De
Distributed Ledger Technology for Document and Workflow Management in Trade and Logistics
Ziyuan Wang
|
Dain Yap Liffman
|
Dileban Karunamoorthy
|
Ermyas Abebe
Every Word has its History: Interactive Exploration and Visualization of Word Sense Evolution
Adam Jatowt
|
Ricardo Campos
|
Sourav S. Bhowmick
|
Nina Tahmasebi
|
Antoine Doucet
Exploring Diversified Similarity with Kundaha
Lúcio F. D. Santos
|
Gustavo Blanco
|
Daniel de Oliveira
|
Agma J. M. Traina
|
Caetano Traina Jr.
|
Marcos V. N. Bedo
Fouilla: Navigating DBpedia by Topic
Tanguy Raynaud
|
Julien Subercaze
|
Frédérique Laforest
From Copernicus Big Data to Big Information and Big Knowledge: A Demo from the Copernicus App Lab Project
Konstantina Bereta
|
Hervé Caumont
|
Erwin Goor
|
Manolis Koubarakis
|
Despina-Athanasia Pantazi
|
George Stamoulis
|
Sam Ubels
|
Valentijn Venus
|
Firman Wahyudi
I4TSRS: A System to Assist a Data Engineer in Time-Series Dimensionality Reduction in Industry 4.0 Scenarios
Kevin Villalobos
|
Borja Diez
|
Arantza Illarramendi
|
Alfredo Goñi
|
José Miguel Blanco
IM Balanced: Influence Maximization Under Balance Constraints
Shay Gershtein
|
Tova Milo
|
Brit Youngmann
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Gal Zeevi
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Elke A. Rundensteiner
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Maryam Karimzadehgan
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