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ORCID10th WSDM 2017: Cambridge, UK
- 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
- Ricardo Baeza-Yates:
Ten Years of Wisdom. 1-2
Paper Session 1: Social and Information Networks
- Jiawei Zhang, Philip S. Yu, Yuanhua Lv:
Enterprise Employee Training via Project Team Formation. 3-12 - Farshad Kooti, Mihajlo Grbovic, Luca Maria Aiello
, Eric Bax, Kristina Lerman:
iPhone's Digital Marketplace: Characterizing the Big Spenders. 13-21 - Róbert Pálovics, András A. Benczúr:
Raising Graphs From Randomness to Reveal Information Networks. 23-32 - Xingjie Wei, David Stillwell:
How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images. 33-40 - Jan R. Benetka, Krisztian Balog, Kjetil Nørvåg:
Anticipating Information Needs Based on Check-in Activity. 41-50 - Ali Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez:
RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks. 51-60 - Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. 61-70 - Mohammad Akbari, Tat-Seng Chua:
Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling. 71-79 - Kiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis:
Reducing Controversy by Connecting Opposing Views. 81-90 - Tao Wang, Markus Brede, Antonella Ianni, Emmanouil Mentzakis:
Detecting and Characterizing Eating-Disorder Communities on Social Media. 91-100 - Daniel M. Romero, Katharina Reinecke, Lionel P. Robert Jr.:
The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling. 101-110 - Luca Maria Aiello, Nicola Barbieri:
Evolution of Ego-networks in Social Media with Link Recommendations. 111-120 - Jiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu:
Link Prediction with Cardinality Constraint. 121-130
Paper Session 2: Information Retrieval
- Liangda Li, Hongbo Deng, Jianhui Chen, Yi Chang:
Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes. 131-139 - 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 - Gong Cheng, Cheng Jin, Wentao Ding, Danyun Xu, Yuzhong Qu:
Generating Illustrative Snippets for Open Data on the Web. 151-159 - Xin Li, Yiqun Liu, Rongjie Cai, Shaoping Ma:
Investigation of User Search Behavior While Facing Heterogeneous Search Services. 161-170 - Fidel Cacheda, Nicola Barbieri, Roi Blanco:
Click Through Rate Prediction for Local Search Results. 171-180 - Faezeh Ensan, Ebrahim Bagheri:
Document Retrieval Model Through Semantic Linking. 181-190 - 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 - 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 - Venkatesh Vinayakarao, Anita Sarma, Rahul Purandare, Shuktika Jain, Saumya Jain:
ANNE: Improving Source Code Search using Entity Retrieval Approach. 211-220 - Yulu Wang, Jimmy Lin:
Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams. 221-230 - Vinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand:
Modeling Event Importance for Ranking Daily News Events. 231-240 - Kewen Liao, Alistair Moffat, Matthias Petri, Anthony Wirth:
A Cost Model for Long-Term Compressed Data Retention. 241-249
PE Keynote 1
- Nick Craswell:
Neural Models for Full Text Search. 251
Paper Session 3: Time, Space and Crowds
- 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 - 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 - Yandi Li, Nicola Barbieri, Daniele Quercia:
Applying Space Syntax to Online Mapping Tools. 273-282 - Huiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu:
Semantic-aware Query Processing for Activity Trajectories. 283-292
Keynote 2
- Claire Cardie:
Keeping Apace with Progress in Natural Language Processing. 293
Paper Session 4: Text and Knowledge Mining
- Ting Chen, Yizhou Sun:
Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification. 295-304 - 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 - Marius Pasca:
German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs. 315-324 - Xiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han:
Comparative Document Analysis for Large Text Corpora. 325-334 - 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 - David Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf:
Fun Facts: Automatic Trivia Fact Extraction from Wikipedia. 345-354 - Cheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi:
Related Event Discovery. 355-364 - Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani:
Lightweight Multilingual Entity Extraction and Linking. 365-374 - Luis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek:
Predicting Completeness in Knowledge Bases. 375-383 - Adi Omari, Sharon Shoham, Eran Yahav:
Synthesis of Forgiving Data Extractors. 385-394 - Pengwei Wang, Yong Zhang, Lei Ji, Jun Yan, Lianwen Jin:
Concept Embedded Convolutional Semantic Model for Question Retrieval. 395-403 - Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke:
Summarizing Answers in Non-Factoid Community Question-Answering. 405-414 - 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
- Lei Zheng, Vahid Noroozi, Philip S. Yu:
Joint Deep Modeling of Users and Items Using Reviews for Recommendation. 425-434 - Qi Zhao, Yongfeng Zhang, Yi Zhang, Daniel Friedman:
Multi-Product Utility Maximization for Economic Recommendation. 435-443 - 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 - Wenchao Yu, Charu C. Aggarwal, Wei Wang:
Temporally Factorized Network Modeling for Evolutionary Network Analysis. 455-464 - Xinran He, Yan Liu:
Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors. 465-474 - Jing Wang, Jie Shen, Ping Li, Huan Xu:
Online Matrix Completion for Signed Link Prediction. 475-484 - Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
Social Collaborative Viewpoint Regression with Explainable Recommendations. 485-494 - Chao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing:
Recurrent Recommender Networks. 495-503 - Jérémie Rappaz, Maria-Luiza Vladarean, Julian J. McAuley, Michele Catasta:
Bartering Books to Beers: A Recommender System for Exchange Platforms. 505-514 - How Jing, Alexander J. Smola:
Neural Survival Recommender. 515-524 - Ios Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala:
Directed Edge Recommender System. 525-533
PE Keynote 2
- Ralf Herbrich:
Machine Learning at Amazon. 535
Paper Session 6: Social Networks and Graphs
- Tim Althoff, Pranav Jindal, Jure Leskovec:
Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior. 537-546 - Guangde Chen, Bee-Chung Chen, Deepak Agarwal:
Social Incentive Optimization in Online Social Networks. 547-556 - Marco Bressan, Flavio Chierichetti, Ravi Kumar, Stefano Leucci, Alessandro Panconesi:
Counting Graphlets: Space vs Time. 557-566 - Fuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He:
Representation Learning with Pair-wise Constraints for Collaborative Ranking. 567-575
Keynote 3
- Steve J. Young:
Statistical Spoken Dialogue Systems and the Challenges for Machine Learning. 577
PE Keynote 3
- Anjali Joshi:
Primum Non Nocere: Healthcare In The Digital Age. 579
Paper Session 7: Ads, Time, Space, A/B Testing
- Haifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang:
Managing Risk of Bidding in Display Advertising. 581-590 - Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Predicting Online Purchase Conversion for Retargeting. 591-600 - Ashwin Paranjape, Austin R. Benson, Jure Leskovec:
Motifs in Temporal Networks. 601-610 - Zhenni Feng, Yanmin Zhu, Jian Cao:
Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations. 611-620 - Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Xike Xie, Torben Bach Pedersen:
Location Influence in Location-based Social Networks. 621-630 - Vineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy:
Probabilistic Social Sequential Model for Tour Recommendation. 631-640 - Alex Deng, Jiannan Lu, Jonthan Litz:
Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions. 641-649 - Eugene Kharitonov, Alexey Drutsa, Pavel Serdyukov:
Learning Sensitive Combinations of A/B Test Metrics. 651-659
Paper Session 8: ML, Embeddings and Tensors
- 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 - Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. 671-680 - Kijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos:
D-Cube: Dense-Block Detection in Terabyte-Scale Tensors. 681-689 - Yuan He, Cheng Wang, Changjun Jiang:
Modeling Document Networks with Tree-Averaged Copula Regularization. 691-699 - Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu:
Multilinear Factorization Machines for Multi-Task Multi-View Learning. 701-709 - Paul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu:
Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints. 711-719 - Rohit Babbar, Bernhard Schölkopf:
DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification. 721-729 - Xiao Huang, Jundong Li, Xia Hu:
Label Informed Attributed Network Embedding. 731-739 - Linchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu:
Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks. 741-749 - Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer:
Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction. 751-760 - 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
- 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 - Thorsten Joachims, Adith Swaminathan, Tobias Schnabel:
Unbiased Learning-to-Rank with Biased Feedback. 781-789 - Michael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork:
Learning from User Interactions in Personal Search via Attribute Parameterization. 791-799 - 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
- Andrew Blake:
Harnessing the Power of Data Science through Research. 811
Tutorials
- Bhaskar Mitra, Nick Craswell:
Neural Text Embeddings for Information Retrieval. 813-814 - Laura Dietz, Alexander Kotov, Edgar Meij:
Utilizing Knowledge Graphs in Text-centricInformation Retrieval. 815-816 - Yan Liu, Sanjay Chawla:
Social Media Anomaly Detection: Challenges and Solutions. 817-818
Workshop Summaries
- Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova:
Workshop on Scholarly Web Mining (SWM 2017). 819-820 - Faezeh Ensan, Zeinab Noorian, Ebrahim Bagheri:
Mining Actionable Insights from Social Networksat WSDM 2017. 821-822 - 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 - 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
- Stefan Heindorf, Martin Potthast, Hannah Bast, Björn Buchhold, Elmar Haussmann:
WSDM Cup 2017: Vandalism Detection and Triple Scoring. 827-828
Doctoral Consortiums
- Matthew Ryan Mitsui:
Beyond Query Logs: Recommendation and Evaluation. 829 - Manoj Reddy Dareddy:
Recommender Systems: Research Direction. 831 - Venkatesh Vinayakarao:
Modeling Source Code to Support Retrieval-Based Applications. 833 - Zijun Xue:
Scalable Text Analysis. 835 - Kiran Garimella:
Quantifying and Bursting the Online Filter Bubble. 837 - Eliezer de Souza da Silva:
New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information. 839 - Sendong Zhao:
Mining Medical Causality for Diagnosis Assistance. 841 - Maria Maistro:
Adapting Information Retrieval to User Signals via Stochastic Models. 843 - Dimitar Dimitrov:
Modeling Navigation in Information Networks. 845
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