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ORCID12th WSDM 2019: Melbourne, VIC, Australia
- J. Shane Culpepper, Alistair Moffat, Paul N. Bennett, Kristina Lerman:
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, WSDM 2019, Melbourne, VIC, Australia, February 11-15, 2019. ACM 2019, ISBN 978-1-4503-5940-5
Keynote & Invited Talks
- Jaime Teevan:
Attending to What Matters. 1 - H. V. Jagadish:
Responsible Data Science. 2 - Rohit Prasad:
Alexa Everywhere: AI for Daily Convenience. 3 - Aleksandra Korolova:
Privacy-Preserving WSDM. 4 - Maarten de Rijke
:
Reinforcement Learning to Rank. 5
Session 1: Search and Ranking
- Giulio Ermanno Pibiri, Matthias Petri, Alistair Moffat:
Fast Dictionary-Based Compression for Inverted Indexes. 6-14 - Luke Gallagher, Ruey-Cheng Chen, Roi Blanco, J. Shane Culpepper:
Joint Optimization of Cascade Ranking Models. 15-23 - Haitao Yu, Adam Jatowt, Hideo Joho, Joemon M. Jose, Xiao Yang, Long Chen:
WassRank: Listwise Document Ranking Using Optimal Transport Theory. 24-32 - Chuhan Wu, Fangzhao Wu, Zhigang Yuan, Junxin Liu, Yongfeng Huang, Xing Xie:
MSA: Jointly Detecting Drug Name and Adverse Drug Reaction Mentioning Tweets with Multi-Head Self-Attention. 33-41
Session 2: Knowledge Graphs and Analytics
- Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han:
Integrating Local Context and Global Cohesiveness for Open Information Extraction. 42-50 - Shreyansh P. Bhatt, Swati Padhee, Amit P. Sheth, Keke Chen, Valerie L. Shalin, Derek Doran, Brandon S. Minnery:
Knowledge Graph Enhanced Community Detection and Characterization. 51-59 - Ninghao Liu, Mengnan Du, Xia Hu:
Representation Interpretation with Spatial Encoding and Multimodal Analytics. 60-68 - Ruirui Li, Jyun-Yu Jiang, Chelsea J.-T. Ju, Wei Wang:
CORALS: Who Are My Potential New Customers? Tapping into the Wisdom of Customers' Decisions. 69-77 - Marius Pasca, Travis Wolfe:
Lightweight Lexical and Semantic Evidence for Detecting Classes Among Wikipedia Articles. 78-86 - Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum:
ExFaKT: A Framework for Explaining Facts over Knowledge Graphs and Text. 87-95 - Wen Zhang, Bibek Paudel, Wei Zhang, Abraham Bernstein, Huajun Chen:
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs. 96-104 - Xiao Huang, Jingyuan Zhang, Dingcheng Li, Ping Li:
Knowledge Graph Embedding Based Question Answering. 105-113 - Yu Gu, Tianshuo Zhou, Gong Cheng, Ziyang Li, Jeff Z. Pan, Yuzhong Qu:
Relevance Search over Schema-Rich Knowledge Graphs. 114-122 - Yiping Yuan, Jing Zhang, Shaunak Chatterjee, Shipeng Yu, Rómer Rosales:
A State Transition Model for Mobile Notifications via Survival Analysis. 123-131 - Gaurush Hiranandani, Raghav Somani, Oluwasanmi Koyejo, Sreangsu Acharyya:
Clustered Monotone Transforms for Rating Factorization. 132-140 - Tianyi Lin, Zhiyue Hu, Xin Guo:
Sparsemax and Relaxed Wasserstein for Topic Sparsity. 141-149
Session 3: Recommendation and Temporal Trends
- Athanasios N. Nikolakopoulos, George Karypis:
RecWalk: Nearly Uncoupled Random Walks for Top-N Recommendation. 150-158 - Flávio Martins, João Magalhães, Jamie Callan:
Modeling Temporal Evidence from External Collections. 159-167 - Avishek Anand, Megha Khosla, Jaspreet Singh, Jan-Hendrik Zab, Zijian Zhang:
Asynchronous Training of Word Embeddings for Large Text Corpora. 168-176 - Chong Chen, Min Zhang, Yiqun Liu, Shaoping Ma:
Social Attentional Memory Network: Modeling Aspect- and Friend-Level Differences in Recommendation. 177-185 - Manzil Zaheer, Amr Ahmed, Yuan Wang, Daniel Silva, Marc Najork, Yuchen Wu, Shibani Sanan, Surojit Chatterjee:
Uncovering Hidden Structure in Sequence Data via Threading Recurrent Models. 186-194
Session 4: FATE & Privacy
- Christoph Hube, Besnik Fetahu:
Neural Based Statement Classification for Biased Language. 195-203 - Yanjun Zhang, Xin Zhao, Xue Li, Mingyang Zhong, Caitlin Curtis, Chen Chen:
Enabling Privacy-Preserving Sharing of Genomic Data for GWASs in Decentralized Networks. 204-212 - Ghazaleh Beigi, Ruocheng Guo, Alexander Nou, Yanchao Zhang, Huan Liu:
Protecting User Privacy: An Approach for Untraceable Web Browsing History and Unambiguous User Profiles. 213-221 - Dugang Liu, Chen Lin, Zhilin Zhang, Yanghua Xiao, Hanghang Tong:
Spiral of Silence in Recommender Systems. 222-230 - Bashir Rastegarpanah, Krishna P. Gummadi, Mark Crovella:
Fighting Fire with Fire: Using Antidote Data to Improve Polarization and Fairness of Recommender Systems. 231-239 - Azin Ghazimatin, Rishiraj Saha Roy, Gerhard Weikum:
FAIRY: A Framework for Understanding Relationships Between Users' Actions and their Social Feeds. 240-248 - Eugene Kharitonov:
Federated Online Learning to Rank with Evolution Strategies. 249-257
Session 5: Understanding Conversation, Discussion, and Opinions
- Utkarsh Upadhyay, Abir De, Aasish Pappu, Manuel Gomez-Rodriguez:
On the Complexity of Opinions and Online Discussions. 258-266 - Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. 267-275 - Longqi Yang, Yu Wang, Drew Dunne, Michael Sobolev, Mor Naaman, Deborah Estrin:
More Than Just Words: Modeling Non-Textual Characteristics of Podcasts. 276-284 - Zhaohao Zeng, Ruihua Song, Pingping Lin, Tetsuya Sakai:
Attitude Detection for One-Round Conversation: Jointly Extracting Target-Polarity Pairs. 285-293
Session 6: Networks and Social Behavior
- Paul Liu, Austin R. Benson, Moses Charikar:
Sampling Methods for Counting Temporal Motifs. 294-302 - Hao Yin, Austin R. Benson, Jure Leskovec:
The Local Closure Coefficient: A New Perspective On Network Clustering. 303-311 - Kai Shu, Suhang Wang, Huan Liu:
Beyond News Contents: The Role of Social Context for Fake News Detection. 312-320 - Lei Han, Kevin Roitero, Ujwal Gadiraju, Cristina Sarasua, Alessandro Checco, Eddy Maddalena, Gianluca Demartini:
All Those Wasted Hours: On Task Abandonment in Crowdsourcing. 321-329 - Aditya Chetan, Brihi Joshi, Hridoy Sankar Dutta, Tanmoy Chakraborty:
CoReRank: Ranking to Detect Users Involved in Blackmarket-Based Collusive Retweeting Activities. 330-338 - Lu Cheng, Jundong Li, Yasin N. Silva, Deborah L. Hall, Huan Liu:
XBully: Cyberbullying Detection within a Multi-Modal Context. 339-347 - Jooyeon Kim, Dongkwan Kim, Alice Oh:
Homogeneity-Based Transmissive Process to Model True and False News in Social Networks. 348-356 - Kaize Ding, Jundong Li, Huan Liu:
Interactive Anomaly Detection on Attributed Networks. 357-365 - Junteng Jia, Austin R. Benson:
Random Spatial Network Models for Core-Periphery Structure. 366-374 - Xin Liu, Tsuyoshi Murata, Kyoung-Sook Kim, Chatchawan Kotarasu, Chenyi Zhuang:
A General View for Network Embedding as Matrix Factorization. 375-383 - Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang:
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. 384-392 - Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang:
Co-Embedding Attributed Networks. 393-401
Session 7: E-commerce and Recommendation
- Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju:
Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. 402-410 - Shiqian Chen, Chenliang Li, Feng Ji, Wei Zhou, Haiqing Chen:
Review-Driven Answer Generation for Product-Related Questions in E-Commerce. 411-419 - Alois Gruson, Praveen Chandar, Christophe Charbuillet, James McInerney, Samantha Hansen, Damien Tardieu, Ben Carterette:
Offline Evaluation to Make Decisions About PlaylistRecommendation Algorithms. 420-428 - Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan:
Product-Aware Answer Generation in E-Commerce Question-Answering. 429-437 - Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu:
Linked Variational AutoEncoders for Inferring Substitutable and Supplementary Items. 438-446
Session 8: Counterfactual and Causal Learning
- Rolf Jagerman, Ilya Markov, Maarten de Rijke:
When People Change their Mind: Off-Policy Evaluation in Non-stationary Recommendation Environments. 447-455 - Minmin Chen, Alex Beutel, Paul Covington, Sagar Jain, Francois Belletti, Ed H. Chi:
Top-K Off-Policy Correction for a REINFORCE Recommender System. 456-464 - Murat Ali Bayir, Mingsen Xu, Yaojia Zhu, Yifan Shi:
Genie: An Open Box Counterfactual Policy Estimator for Optimizing Sponsored Search Marketplace. 465-473 - Aman Agarwal, Ivan Zaitsev, Xuanhui Wang, Cheng Li, Marc Najork, Thorsten Joachims:
Estimating Position Bias without Intrusive Interventions. 474-482 - Randell Cotta, Mingyang Hu, Dan Jiang, Peizhou Liao:
Off-Policy Evaluation of Probabilistic Identity Data in Lookalike Modeling. 483-491 - Nianqiao Ju, Diane Hu, Adam Henderson, Liangjie Hong:
A Sequential Test for Selecting the Better Variant: Online A/B testing, Adaptive Allocation, and Continuous Monitoring. 492-500 - Nanyu Chen, Min Liu, Ya Xu:
How A/B Tests Could Go Wrong: Automatic Diagnosis of Invalid Online Experiments. 501-509
Session 9: Recommendation
- Ke Ren, Avinash Malik:
Investment Recommendation System for Low-Liquidity Online Peer to Peer Lending (P2PL) Marketplaces. 510-518 - Chen Ma, Peng Kang, Bin Wu, Qinglong Wang, Xue Liu:
Gated Attentive-Autoencoder for Content-Aware Recommendation. 519-527 - Himanshu Jain, Venkatesh Balasubramanian, Bhanu Chunduri, Manik Varma:
Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches. 528-536 - Xian Wu, Baoxu Shi, Yuxiao Dong, Chao Huang, Nitesh V. Chawla:
Neural Tensor Factorization for Temporal Interaction Learning. 537-545 - Tobias Schnabel, Paul N. Bennett, Thorsten Joachims:
Shaping Feedback Data in Recommender Systems with Interventions Based on Information Foraging Theory. 546-554 - Weiping Song, Zhiping Xiao, Yifan Wang, Laurent Charlin, Ming Zhang, Jian Tang:
Session-Based Social Recommendation via Dynamic Graph Attention Networks. 555-563 - Jianling Wang, James Caverlee:
Recurrent Recommendation with Local Coherence. 564-572 - Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong:
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. 573-581 - Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He:
A Simple Convolutional Generative Network for Next Item Recommendation. 582-590 - Bjørnar Vassøy, Massimiliano Ruocco, Eliezer de Souza da Silva, Erlend Aune:
Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. 591-599 - Noveen Sachdeva, Giuseppe Manco, Ettore Ritacco, Vikram Pudi:
Sequential Variational Autoencoders for Collaborative Filtering. 600-608 - Lu Lin, Lin Gong, Hongning Wang:
Learning Personalized Topical Compositions with Item Response Theory. 609-617
Session 10: Personalization and Characterizing User Behavior
- Florian Lemmerich, Diego Sáez-Trumper, Robert West, Leila Zia:
Why the World Reads Wikipedia: Beyond English Speakers. 618-626 - Bahareh Sarrafzadeh, Ahmed Hassan Awadallah, Christopher H. Lin, Chia-Jung Lee, Milad Shokouhi, Susan T. Dumais:
Characterizing and Predicting Email Deferral Behavior. 627-635 - Ryen W. White, Ahmed Hassan Awadallah:
Task Duration Estimation. 636-644 - Zhijing Wu, Yiqun Liu, Qianfan Zhang, Kailu Wu, Min Zhang, Shaoping Ma:
The Influence of Image Search Intents on User Behavior and Satisfaction. 645-653 - Chuhan Wu, Fangzhao Wu, Junxin Liu, Shaojian He, Yongfeng Huang, Xing Xie:
Neural Demographic Prediction using Search Query. 654-662
Session 11: Domain Transfer and Representation Learning
- Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. 663-671 - Hosein Azarbonyad, Robert Sim, Ryen W. White:
Domain Adaptation for Commitment Detection in Email. 672-680 - Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps, Maarten de Rijke:
Learning to Transform, Combine, and Reason in Open-Domain Question Answering. 681-689 - Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla:
SHNE: Representation Learning for Semantic-Associated Heterogeneous Networks. 690-698 - Chen Qu, Feng Ji, Minghui Qiu, Liu Yang, Zhiyu Min, Haiqing Chen, Jun Huang, W. Bruce Croft:
Learning to Selectively Transfer: Reinforced Transfer Learning for Deep Text Matching. 699-707 - Yana Kashinskaya, Egor Samosvat, Akmal Artikov:
Spring-Electrical Models For Link Prediction. 708-716 - Yaqing Wang, Chunyan Feng, Caili Guo, Yunfei Chu, Jenq-Neng Hwang:
Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering. 717-725
Session 12: Text Understanding
- Jianfeng Qu, Dantong Ouyang, Wen Hua, Yuxin Ye, Xiaofang Zhou:
Discovering Correlations between Sparse Features in Distant Supervision for Relation Extraction. 726-734 - Yijun Duan, Adam Jatowt:
Across-Time Comparative Summarization of News Articles. 735-743 - Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov, Martin Jaggi, Robert West:
Crosslingual Document Embedding as Reduced-Rank Ridge Regression. 744-752 - Felipe Viegas, Sérgio D. Canuto, Christian Gomes, Washington Luiz, Thierson Rosa, Sabir Ribas, Leonardo Rocha, Marcos André Gonçalves:
CluWords: Exploiting Semantic Word Clustering Representation for Enhanced Topic Modeling. 753-761
Demonstration Papers
- Yating Zhang, Adam Jatowt, Sourav S. Bhowmick, Yuji Matsumoto:
ATAR: Aspect-Based Temporal Analog Retrieval System for Document Archives. 762-765 - Nisarg Jhaveri, Manish Gupta, Vasudeva Varma:
clstk: The Cross-Lingual Summarization Tool-Kit. 766-769 - Jaspreet Singh, Avishek Anand:
EXS: Explainable Search Using Local Model Agnostic Interpretability. 770-773 - Shuyu Zheng, Ziniu Hu, Yun Ma:
FaceOff: Assisting the Manifestation Design of Web Graphical User Interface. 774-777 - Sheng Wang, Yunzhuang Shen, Zhifeng Bao, Xiaolin Qin:
Intelligent Traffic Analytics: From Monitoring to Controlling. 778-781 - Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis:
Interactive Visualization of Urban Areas of Interest: A Parameter-Free and Efficient Footprint Method. 782-785 - Shoko Wakamiya, Panote Siriaraya, Yihong Zhang, Yukiko Kawai, Eiji Aramaki, Adam Jatowt:
Pleasant Route Suggestion based on Color and Object Rates. 786-789 - Shuai Yu, Yongbo Wang, Min Yang, Baocheng Li, Qiang Qu, Jialie Shen:
NAIRS: A Neural Attentive Interpretable Recommendation System. 790-793 - Dhruv Gupta, Klaus Berberich:
Structured Search in Annotated Document Collections. 794-797 - Andreas Spitz, Satya Almasian, Michael Gertz:
TopExNet: Entity-Centric Network Topic Exploration in News Streams. 798-801 - 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:
VisCrime: A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources. 802-805 - Minjeong Shin, Dongwoo Kim, Jae Hee Lee, Umanga Bista, Lexing Xie:
Visualizing Graph Differences from Social Media Streams. 806-809
Doctoral Consortium Papers
- Swapnil Mishra:
Bridging Models for Popularity Prediction on Social Media. 810-811 - Umanga Bista:
Comparative Summarisation of Rich Media Collections. 812-813 - Raksha Pavagada Subbanarasimha:
Designing the Cogno-Web Observatory: To Characterize the Dynamics of Online Social Cognition. 814-815 - Siqi Wu:
How is Attention Allocated?: Data-Driven Studies of Popularity and Engagement in Online Videos. 816-817 - Quyu Kong:
Linking Epidemic Models and Hawkes Point Processes for Modeling Information Diffusion. 818-819 - Junqi Zhang:
Listwise vs Pagewise: Towards Better Ranking Strategies for Heterogeneous Search Results. 820-821 - Renny Márquez, Richard Weber:
Overlapping Community Detection in Static and Dynamic Social Networks. 822-823 - Bilih Priyogi:
Preference Elicitation Strategy for Conversational Recommender System. 824-825 - Xiaohui Xie:
User Behavior Modeling for Web Image Search. 826-827
Tutorial Summaries
- Emre Kiciman, Amit Sharma:
Causal Inference and Counterfactual Reasoning (3hr Tutorial). 828-829 - Tetsuya Sakai:
Conducting Laboratory Experiments Properly with Statistical Tools: An Easy Hands-On Tutorial. 830-831 - Jun Xu, Xiangnan He, Hang Li:
Deep Learning for Matching in Search and Recommendation. 832-833 - Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell:
Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned. 834-835 - Xinyi Zhou, Reza Zafarani, Kai Shu, Huan Liu:
Fake News: Fundamental Theories, Detection Strategies and Challenges. 836-837 - Bevan Koopman, Guido Zuccon:
WSDM 2019 Tutorial on Health Search (HS2019): A Full-Day from Consumers to Clinicians. 838-839 - Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Guha Thakurta:
Privacy-preserving Data Mining in Industry. 840-841
Workshop Summaries
- Xiangmin Zhou, Ji Zhang, Yanchun Zhang:
The 1st International Workshop on Context-Aware Recommendation Systems with Big Data Analytics (CARS-BDA). 842-843 - Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. 844-845 - Alan Said, Denis Parra, Juhee Bae, Sepideh Pashami:
IDM-WSDM 2019: Workshop on Interactive Data Mining. 846-847 - Ahmed Hassan Awadallah, Cathal Gurrin, Mark Sanderson, Ryen W. White:
Task Intelligence Workshop @ WSDM 2019. 848-849
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