Web Search and Data Mining 2017 (original) (raw)

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10th WSDM 2017: Cambridge, UK

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  • Keynote 1
  • Paper Session 2: Information Retrieval
  • Paper Session 3: Time, Space and Crowds
  • Paper Session 4: Text and Knowledge Mining
  • PE Keynote 2
  • Keynote 3
  • Paper Session 7: Ads, Time, Space, A/B Testing
  • Paper Session 9: New Search Models
  • Tutorials
  • WSDM Cup 2017

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    Maarten de Rijke, Milad Shokouhi, Andrew Tomkins, Min Zhang:
    Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, WSDM 2017, Cambridge, United Kingdom, February 6-10, 2017. ACM 2017, ISBN 978-1-4503-4675-7

Keynote 1

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    Ricardo Baeza-Yates:
    Ten Years of Wisdom. 1-2

Paper Session 1: Social and Information Networks

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    Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
    Enterprise Employee Training via Project Team Formation. 3-12
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    Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman:
    iPhone's Digital Marketplace: Characterizing the Big Spenders. 13-21
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    Róbert Pálovics, András A. Benczúr:
    Raising Graphs From Randomness to Reveal Information Networks. 23-32
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    Xingjie Wei, David Stillwell:
    How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images. 33-40
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    Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
    Anticipating Information Needs Based on Check-in Activity. 41-50
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    Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
    RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. 51-60
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    Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
    Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. 61-70
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    Mohammad Akbari, Tat-Seng Chua:
    Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling. 71-79
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    Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis:
    Reducing Controversy by Connecting Opposing Views. 81-90
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    Tao Wang, Markus Brede, Antonella Ianni, Emmanouil Mentzakis:
    Detecting and Characterizing Eating-Disorder Communities on Social Media. 91-100
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    Daniel M. Romero, Katharina Reinecke, Lionel P. Robert Jr.:
    The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling. 101-110
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    Luca Maria Aiello, Nicola Barbieri:
    Evolution of Ego-networks in Social Media with Link Recommendations. 111-120
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    Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
    Link Prediction with Cardinality Constraint. 121-130

Paper Session 2: Information Retrieval

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    Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
    Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. 131-139
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    Cheng Luo, Yiqun Liu, Tetsuya Sakai, Ke Zhou, Fan Zhang, Xue Li, Shaoping Ma:
    Does Document Relevance Affect the Searcher's Perception of Time? 141-150
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    Gong Cheng, Cheng Jin, Wentao Ding, Danyun Xu, Yuzhong Qu:
    Generating Illustrative Snippets for Open Data on the Web. 151-159
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    Xin Li, Yiqun Liu, Rongjie Cai, Shaoping Ma:
    Investigation of User Search Behavior While Facing Heterogeneous Search Services. 161-170
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    Fidel Cacheda, Nicola Barbieri, Roi Blanco:
    Click Through Rate Prediction for Local Search Results. 171-180
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    Faezeh Ensan, Ebrahim Bagheri:
    Document Retrieval Model Through Semantic Linking. 181-190
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    Haitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan:
    A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification. 191-200
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    Matt Crane, J. Shane Culpepper, Jimmy Lin, Joel M. Mackenzie, Andrew Trotman:
    A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation. 201-210
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    Venkatesh Vinayakarao, Anita Sarma, Rahul Purandare, Shuktika Jain, Saumya Jain:
    ANNE: Improving Source Code Search using Entity Retrieval Approach. 211-220
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    Yulu Wang, Jimmy Lin:
    Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams. 221-230
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    Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand:
    Modeling Event Importance for Ranking Daily News Events. 231-240
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    Kewen Liao, Alistair Moffat, Matthias Petri, Anthony Wirth:
    A Cost Model for Long-Term Compressed Data Retention. 241-249

PE Keynote 1

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    Nick Craswell:
    Neural Models for Full Text Search. 251

Paper Session 3: Time, Space and Crowds

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    Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun:
    Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. 253-261
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    Quan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han:
    PRED: Periodic Region Detection for Mobility Modeling of Social Media Users. 263-272
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    Yandi Li, Nicola Barbieri, Daniele Quercia:
    Applying Space Syntax to Online Mapping Tools. 273-282
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    Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu:
    Semantic-aware Query Processing for Activity Trajectories. 283-292

Keynote 2

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    Claire Cardie:
    Keeping Apace with Progress in Natural Language Processing. 293

Paper Session 4: Text and Knowledge Mining

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    Ting Chen, Yizhou Sun:
    Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. 295-304
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    Honghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma:
    Beyond the Words: Predicting User Personality from Heterogeneous Information. 305-314
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    Marius Pasca:
    German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs. 315-324
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    Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
    Comparative Document Analysis for Large Text Corpora. 325-334
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    Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai:
    Constructing and Embedding Abstract Event Causality Networks from Text Snippets. 335-344
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    David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
    Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. 345-354
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    Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi:
    Related Event Discovery. 355-364
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    Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani:
    Lightweight Multilingual Entity Extraction and Linking. 365-374
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    Luis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek:
    Predicting Completeness in Knowledge Bases. 375-383
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    Adi Omari, Sharon Shoham, Eran Yahav:
    Synthesis of Forgiving Data Extractors. 385-394
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    Pengwei Wang, Yong Zhang, Lei Ji, Jun Yan, Lianwen Jin:
    Concept Embedded Convolutional Semantic Model for Question Retrieval. 395-403
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    Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke:
    Summarizing Answers in Non-Factoid Community Question-Answering. 405-414
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    Jong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, Ryu Iida, Julien Kloetzer:
    Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering. 415-424

Paper Session 5: Networks and Recommendation

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    Lei Zheng, Vahid Noroozi, Philip S. Yu:
    Joint Deep Modeling of Users and Items Using Reviews for Recommendation. 425-434
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    Qi Zhao, Yongfeng Zhang, Yi Zhang, Daniel Friedman:
    Multi-Product Utility Maximization for Economic Recommendation. 435-443
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    Shay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai:
    Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation. 445-453
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    Wenchao Yu, Charu C. Aggarwal, Wei Wang:
    Temporally Factorized Network Modeling for Evolutionary Network Analysis. 455-464
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    Xinran He, Yan Liu:
    Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. 465-474
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    Jing Wang, Jie Shen, Ping Li, Huan Xu:
    Online Matrix Completion for Signed Link Prediction. 475-484
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    Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
    Social Collaborative Viewpoint Regression with Explainable Recommendations. 485-494
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    Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing:
    Recurrent Recommender Networks. 495-503
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    Jérémie Rappaz, Maria-Luiza Vladarean, Julian J. McAuley, Michele Catasta:
    Bartering Books to Beers: A Recommender System for Exchange Platforms. 505-514
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    How Jing, Alexander J. Smola:
    Neural Survival Recommender. 515-524
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    Ios Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala:
    Directed Edge Recommender System. 525-533

PE Keynote 2

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    Ralf Herbrich:
    Machine Learning at Amazon. 535

Paper Session 6: Social Networks and Graphs

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    Tim Althoff, Pranav Jindal, Jure Leskovec:
    Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. 537-546
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    Guangde Chen, Bee-Chung Chen, Deepak Agarwal:
    Social Incentive Optimization in Online Social Networks. 547-556
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    Marco Bressan, Flavio Chierichetti, Ravi Kumar, Stefano Leucci, Alessandro Panconesi:
    Counting Graphlets: Space vs Time. 557-566
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    Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
    Representation Learning with Pair-wise Constraints for Collaborative Ranking. 567-575

Keynote 3

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    Steve J. Young:
    Statistical Spoken Dialogue Systems and the Challenges for Machine Learning. 577

PE Keynote 3

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    Anjali Joshi:
    Primum Non Nocere: Healthcare In The Digital Age. 579

Paper Session 7: Ads, Time, Space, A/B Testing

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    Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
    Managing Risk of Bidding in Display Advertising. 581-590
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    Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
    Predicting Online Purchase Conversion for Retargeting. 591-600
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    Ashwin Paranjape, Austin R. Benson, Jure Leskovec:
    Motifs in Temporal Networks. 601-610
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    Zhenni Feng, Yanmin Zhu, Jian Cao:
    Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations. 611-620
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    Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
    Location Influence in Location-based Social Networks. 621-630
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    Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy:
    Probabilistic Social Sequential Model for Tour Recommendation. 631-640
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    Alex Deng, Jiannan Lu, Jonthan Litz:
    Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions. 641-649
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    Eugene Kharitonov, Alexey Drutsa, Pavel Serdyukov:
    Learning Sensitive Combinations of A/B Test Metrics. 651-659

Paper Session 8: ML, Embeddings and Tensors

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    Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo:
    Real-Time Bidding by Reinforcement Learning in Display Advertising. 661-670
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    Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
    Deep Memory Networks for Attitude Identification. 671-680
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    Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
    D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. 681-689
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    Yuan He, Cheng Wang, Changjun Jiang:
    Modeling Document Networks with Tree-Averaged Copula Regularization. 691-699
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    Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu:
    Multilinear Factorization Machines for Multi-Task Multi-View Learning. 701-709
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    Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu:
    Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. 711-719
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    Rohit Babbar, Bernhard Schölkopf:
    DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification. 721-729
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    Xiao Huang, Jundong Li, Xia Hu:
    Label Informed Attributed Network Embedding. 731-739
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    Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
    Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. 741-749
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    Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer:
    Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction. 751-760
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    Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
    S-HOT: Scalable High-Order Tucker Decomposition. 761-770

Paper Session 9: New Search Models

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    Chin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-De Lin:
    Unsupervised Ranking using Graph Structures and Node Attributes. 771-779
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    Thorsten Joachims, Adith Swaminathan, Tobias Schnabel:
    Unbiased Learning-to-Rank with Biased Feedback. 781-789
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    Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork:
    Learning from User Interactions in Personal Search via Attribute Parameterization. 791-799
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    Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann:
    Delving Deep into Personal Photo and Video Search. 801-810

PE Keynote 4

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    Andrew Blake:
    Harnessing the Power of Data Science through Research. 811

Tutorials

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    Bhaskar Mitra, Nick Craswell:
    Neural Text Embeddings for Information Retrieval. 813-814
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    Laura Dietz, Alexander Kotov, Edgar Meij:
    Utilizing Knowledge Graphs in Text-centricInformation Retrieval. 815-816
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    Yan Liu, Sanjay Chawla:
    Social Media Anomaly Detection: Challenges and Solutions. 817-818

Workshop Summaries

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    Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova:
    Workshop on Scholarly Web Mining (SWM 2017). 819-820
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    Faezeh Ensan, Zeinab Noorian, Ebrahim Bagheri:
    Mining Actionable Insights from Social Networksat WSDM 2017. 821-822
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    Theodora Tsikrika, Babak Akhgar, Vasilis Katos, Stefanos Vrochidis, Pete Burnap, Matthew L. Williams:
    1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the Web. 823-824
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    Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, Vasileios Lampos:
    WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017. 825-826

WSDM Cup 2017

Doctoral Consortiums

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    Matthew Ryan Mitsui:
    Beyond Query Logs: Recommendation and Evaluation. 829
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    Manoj Reddy Dareddy:
    Recommender Systems: Research Direction. 831
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    Venkatesh Vinayakarao:
    Modeling Source Code to Support Retrieval-Based Applications. 833
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    Zijun Xue:
    Scalable Text Analysis. 835
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    Kiran Garimella:
    Quantifying and Bursting the Online Filter Bubble. 837
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    Eliezer de Souza da Silva:
    New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information. 839
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    Sendong Zhao:
    Mining Medical Causality for Diagnosis Assistance. 841
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    Maria Maistro:
    Adapting Information Retrieval to User Signals via Stochastic Models. 843
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    Dimitar Dimitrov:
    Modeling Navigation in Information Networks. 845

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