default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2024-12-02 21:36 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
