WSDM A

121 papers

YearTitle / Authors
2019A General View for Network Embedding as Matrix Factorization.
Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang
2019A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring.
Nianqiao Ju, Diane Hu, Adam Henderson, Liangjie Hong
2019A Simple Convolutional Generative Network for Next Item Recommendation.
Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2019A State Transition Model for Mobile Notifications via Survival Analysis.
Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales
2019Across-Time Comparative Summarization of News Articles.
Yijun Duan, Adam Jatowt
2019Alexa Everywhere: AI for Daily Convenience.
Rohit Prasad
2019All Those Wasted Hours: On Task Abandonment in Crowdsourcing.
Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini
2019Asynchronous Training of Word Embeddings for Large Text Corpora.
Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang
2019Attending to What Matters.
Jaime Teevan
2019Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs.
Zhaohao Zeng, Ruihua Song, Pingping Lin, Tetsuya Sakai
2019Beyond News Contents: The Role of Social Context for Fake News Detection.
Kai Shu, Suhang Wang, Huan Liu
2019Bridging Models for Popularity Prediction on Social Media.
Swapnil Mishra
2019CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions.
Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang
2019Causal Inference and Counterfactual Reasoning (3hr Tutorial).
Emre Kiciman, Amit Sharma
2019Characterizing and Predicting Email Deferral Behavior.
Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Christopher H. Lin, Chia-Jung Lee, Milad Shokouhi, Susan T. Dumais
2019CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling.
Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves
2019Clustered Monotone Transforms for Rating Factorization.
Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya
2019Co-Embedding Attributed Networks.
Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang
2019CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities.
Aditya Chetan, Brihi Joshi, Hridoy Sankar Dutta, Tanmoy Chakraborty
2019Comparative Summarisation of Rich Media Collections.
Umanga Bista
2019Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial.
Tetsuya Sakai
2019Crosslingual Document Embedding as Reduced-Rank Ridge Regression.
Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov, Martin Jaggi, Robert West
2019DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications.
Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo
2019Deep Learning for Matching in Search and Recommendation.
Jun Xu, Xiangnan He, Hang Li
2019Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition.
Raksha Pavagada Subbanarasimha
2019Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction.
Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, Xiaofang Zhou
2019Domain Adaptation for Commitment Detection in Email.
Hosein Azarbonyad, Robert Sim, Ryen W. White
2019Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh
2019EXS: Explainable Search Using Local Model Agnostic Interpretability.
Jaspreet Singh, Avishek Anand
2019Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks.
Yanjun Zhang, Xin Zhao, Xue Li, Mingyang Zhong, Caitlin Curtis, Chen Chen
2019Estimating Position Bias without Intrusive Interventions.
Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims
2019ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text.
Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum
2019FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds.
Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum
2019FaceOff: Assisting the Manifestation Design of Web Graphical User Interface.
Shuyu Zheng, Ziniu Hu, Yun Ma
2019Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.
Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell
2019Fake News: Fundamental Theories, Detection Strategies and Challenges.
Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu
2019Fast Dictionary-Based Compression for Inverted Indexes.
Giulio Ermanno Pibiri, Matthias Petri, Alistair Moffat
2019Federated Online Learning to Rank with Evolution Strategies.
Eugene Kharitonov
2019Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems.
Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella
2019Gated Attentive-Autoencoder for Content-Aware Recommendation.
Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu
2019Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace.
Murat Ali Bayir, Mingsen Xu, Yaojia Zhu, Yifan Shi
2019Homogeneity-Based Transmissive Process to Model True and False News in Social Networks.
Jooyeon Kim, Dongkwan Kim, Alice Oh
2019How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments.
Nanyu Chen, Min Liu, Ya Xu
2019How is Attention Allocated?: Data-Driven Studies of Popularity and Engagement in Online Videos.
Siqi Wu
2019IDM-WSDM 2019: Workshop on Interactive Data Mining.
Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami
2019Integrating Local Context and Global Cohesiveness for Open Information Extraction.
Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
2019Intelligent Traffic Analytics: From Monitoring to Controlling.
Sheng Wang, Yunzhuang Shen, Zhifeng Bao, Xiaolin Qin
2019Interaction Embeddings for Prediction and Explanation in Knowledge Graphs.
Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen
2019Interactive Anomaly Detection on Attributed Networks.
Kaize Ding, Jundong Li, Huan Liu
2019Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method.
Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis
2019Investment Recommendation System for Low-Liquidity Online Peer to Peer Lending (P2PL) Marketplaces.
Ke Ren, Avinash Malik
2019Joint Optimization of Cascade Ranking Models.
Luke Gallagher, Ruey-Cheng Chen, Roi Blanco, J. Shane Culpepper
2019Knowledge Graph Embedding Based Question Answering.
Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li
2019Knowledge Graph Enhanced Community Detection and Characterization.
Shreyansh P. Bhatt, Swati Padhee, Amit P. Sheth, Keke Chen, Valerie L. Shalin, Derek Doran, Brandon S. Minnery
2019Learning Personalized Topical Compositions with Item Response Theory.
Lu Lin, Lin Gong, Hongning Wang
2019Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching.
Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft
2019Learning to Transform, Combine, and Reason in Open-Domain Question Answering.
Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke
2019Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles.
Marius Pasca, Travis Wolfe
2019Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.
Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion.
Quyu Kong
2019Listwise vs Pagewise: Towards Better Ranking Strategies for Heterogeneous Search Results.
Junqi Zhang
2019MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention.
Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie
2019Modeling Temporal Evidence from External Collections.
Flávio Martins, João Magalhães, Jamie Callan
2019More Than Just Words: Modeling Non-Textual Characteristics of Podcasts.
Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, Deborah Estrin
2019Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots.
Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan
2019NAIRS: A Neural Attentive Interpretable Recommendation System.
Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen
2019Neural Based Statement Classification for Biased Language.
Christoph Hube, Besnik Fetahu
2019Neural Demographic Prediction using Search Query.
Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie
2019Neural Tensor Factorization for Temporal Interaction Learning.
Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla
2019Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling.
Randell Cotta, Mingyang Hu, Dan Jiang, Peizhou Liao
2019Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms.
Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette
2019On the Complexity of Opinions and Online Discussions.
Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez
2019Overlapping Community Detection in Static and Dynamic Social Networks.
Renny Márquez, Richard Weber
2019Pleasant Route Suggestion based on Color and Object Rates.
Shoko Wakamiya, Panote Siriaraya, Yihong Zhang, Yukiko Kawai, Eiji Aramaki, Adam Jatowt
2019Preference Elicitation Strategy for Conversational Recommender System.
Bilih Priyogi
2019Privacy-Preserving WSDM.
Aleksandra Korolova
2019Privacy-preserving Data Mining in Industry.
Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Guha Thakurta
2019Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019
J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman
2019Product-Aware Answer Generation in E-Commerce Question-Answering.
Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan
2019Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles.
Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu
2019Random Spatial Network Models for Core-Periphery Structure.
Junteng Jia, Austin R. Benson
2019RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation.
Athanasios N. Nikolakopoulos, George Karypis
2019Recurrent Recommendation with Local Coherence.
Jianling Wang, James Caverlee
2019Reinforcement Learning to Rank.
Maarten de Rijke
2019Relevance Search over Schema-Rich Knowledge Graphs.
Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, Yuzhong Qu
2019Representation Interpretation with Spatial Encoding and Multimodal Analytics.
Ninghao Liu, Mengnan Du, Xia Hu
2019Responsible Data Science.
H. V. Jagadish
2019Review-Driven Answer Generation for Product-Related Questions in E-Commerce.
Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen
2019SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks.
Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla
2019Sampling Methods for Counting Temporal Motifs.
Paul Liu, Austin R. Benson, Moses Charikar
2019Sequential Variational Autoencoders for Collaborative Filtering.
Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi
2019Session-Based Social Recommendation via Dynamic Graph Attention Networks.
Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang
2019Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory.
Tobias Schnabel, Paul N. Bennett, Thorsten Joachims
2019SimGNN: A Neural Network Approach to Fast Graph Similarity Computation.
Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2019Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches.
Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma
2019Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation.
Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma
2019Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering.
Yaqing Wang, Chunyan Feng, Caili Guo, Yunfei Chu, Jenq-Neng Hwang
2019Sparsemax and Relaxed Wasserstein for Topic Sparsity.
Tianyi Lin, Zhiyue Hu, Xin Guo
2019Spiral of Silence in Recommender Systems.
Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong
2019Spring-Electrical Models For Link Prediction.
Yana Kashinskaya, Egor Samosvat, Akmal Artikov
2019Structured Search in Annotated Document Collections.
Dhruv Gupta, Klaus Berberich
2019Task Duration Estimation.
Ryen W. White, Ahmed Hassan Awadallah
2019Task Intelligence Workshop @ WSDM 2019.
Ahmed Hassan Awadallah, Cathal Gurrin, Mark Sanderson, Ryen W. White
2019Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.
Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong
2019The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA).
Xiangmin Zhou, Ji Zhang, Yanchun Zhang
2019The Influence of Image Search Intents on User Behavior and Satisfaction.
Zhijing Wu, Yiqun Liu, Qianfan Zhang, Kailu Wu, Min Zhang, Shaoping Ma
2019The Local Closure Coefficient: A New Perspective On Network Clustering.
Hao Yin, Austin R. Benson, Jure Leskovec
2019Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions.
Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune
2019Top-K Off-Policy Correction for a REINFORCE Recommender System.
Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi
2019TopExNet: Entity-Centric Network Topic Exploration in News Streams.
Andreas Spitz, Satya Almasian, Michael Gertz
2019Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models.
Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee
2019User Behavior Modeling for Web Image Search.
Xiaohui Xie
2019VisCrime: A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources.
Ahsan Morshed, Pei-Wei Tsai, Prem Prakash Jayaraman, Timos Sellis, Dimitrios Georgakopoulos, Sam Burke, Shane Joachim, Ming-Sheng Quah, Stefan Tsvetkov, Jason Liew, Corey Jenkins
2019Visualizing Graph Differences from Social Media Streams.
Minjeong Shin, Dongwoo Kim, Jae Hee Lee, Umanga Bista, Lexing Xie
2019WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians.
Bevan Koopman, Guido Zuccon
2019WassRank: Listwise Document Ranking Using Optimal Transport Theory.
Haitao Yu, Adam Jatowt, Hideo Joho, Joemon M. Jose, Xiao Yang, Long Chen
2019Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce.
Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju
2019When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments.
Rolf Jagerman, Ilya Markov, Maarten de Rijke
2019Why the World Reads Wikipedia: Beyond English Speakers.
Florian Lemmerich, Diego Sáez-Trumper, Robert West, Leila Zia
2019XBully: Cyberbullying Detection within a Multi-Modal Context.
Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu
2019clstk: The Cross-Lingual Summarization Tool-Kit.
Nisarg Jhaveri, Manish Gupta, Vasudeva Varma