Abstract is missing.
- Ten Years of WisdomRicardo A. Baeza-Yates. 1-2 [doi]
- Enterprise Employee Training via Project Team FormationJiawei Zhang, Philip S. Yu, Yuanhua Lv. 3-12 [doi]
- iPhone's Digital Marketplace: Characterizing the Big SpendersFarshad Kooti, Mihajlo Grbovic, Luca Maria Aiello, Eric Bax, Kristina Lerman. 13-21 [doi]
- Raising Graphs From Randomness to Reveal Information NetworksRóbert Pálovics, András A. Benczúr. 23-32 [doi]
- How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile ImagesXingjie Wei, David Stillwell. 33-40 [doi]
- Anticipating Information Needs Based on Check-in ActivityJan R. Benetka, Krisztian Balog, Kjetil Nørvåg. 41-50 [doi]
- RedQueen: An Online Algorithm for Smart Broadcasting in Social NetworksAli Zarezade, Utkarsh Upadhyay, Hamid R. Rabiee, Manuel Gomez-Rodriguez. 51-60 [doi]
- Uncovering the Dynamics of Crowdlearning and the Value of KnowledgeUtkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez. 61-70 [doi]
- Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and ProfilingMohammad Akbari, Tat-Seng Chua. 71-79 [doi]
- Reducing Controversy by Connecting Opposing ViewsKiran Garimella, Gianmarco De Francisci Morales, Aristides Gionis, Michael Mathioudakis. 81-90 [doi]
- Detecting and Characterizing Eating-Disorder Communities on Social MediaTao Wang, Markus Brede, Antonella Ianni, Emmanouil Mentzakis. 91-100 [doi]
- The Influence of Early Respondents: Information Cascade Effects in Online Event SchedulingDaniel M. Romero, Katharina Reinecke, Lionel P. Robert Jr.. 101-110 [doi]
- Evolution of Ego-networks in Social Media with Link RecommendationsLuca Maria Aiello, Nicola Barbieri. 111-120 [doi]
- Link Prediction with Cardinality ConstraintJiawei Zhang, Jianhui Chen, Junxing Zhu, Yi Chang, Philip S. Yu. 121-130 [doi]
- Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes ProcessesLiangda Li, Hongbo Deng, Jianhui Chen, Yi Chang. 131-139 [doi]
- Does Document Relevance Affect the Searcher's Perception of Time?Cheng Luo, Yiqun Liu, Tetsuya Sakai, Ke Zhou, Fan Zhang, Xue Li, Shaoping Ma. 141-150 [doi]
- Generating Illustrative Snippets for Open Data on the WebGong Cheng, Cheng Jin, Wentao Ding, Danyun Xu, Yuzhong Qu. 151-159 [doi]
- Investigation of User Search Behavior While Facing Heterogeneous Search ServicesXin Li, Yiqun Liu, Rongjie Cai, Shaoping Ma. 161-170 [doi]
- Click Through Rate Prediction for Local Search ResultsFidel Cacheda, Nicola Barbieri, Roi Blanco. 171-180 [doi]
- Document Retrieval Model Through Semantic LinkingFaezeh Ensan, Ebrahim Bagheri. 181-190 [doi]
- A Concise Integer Linear Programming Formulation for Implicit Search Result DiversificationHaitao Yu, Adam Jatowt, Roi Blanco, Hideo Joho, Joemon M. Jose, Long Chen, Fajie Yuan. 191-200 [doi]
- A Comparison of Document-at-a-Time and Score-at-a-Time Query EvaluationMatt Crane, J. Shane Culpepper, Jimmy J. Lin, Joel Mackenzie, Andrew Trotman. 201-210 [doi]
- ANNE: Improving Source Code Search using Entity Retrieval ApproachVenkatesh Vinayakarao, Anita Sarma, Rahul Purandare, Shuktika Jain, Saumya Jain. 211-220 [doi]
- Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document StreamsYulu Wang, Jimmy J. Lin. 221-230 [doi]
- Modeling Event Importance for Ranking Daily News EventsVinay Setty, Abhijit Anand, Arunav Mishra, Avishek Anand. 231-240 [doi]
- A Cost Model for Long-Term Compressed Data RetentionKewen Liao, Alistair Moffat, Matthias Petri, Anthony Wirth. 241-249 [doi]
- Neural Models for Full Text SearchNick Craswell. 251 [doi]
- Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-ExpertsYaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun. 253-261 [doi]
- PRED: Periodic Region Detection for Mobility Modeling of Social Media UsersQuan Yuan, Wei Zhang, Chao Zhang, Xinhe Geng, Gao Cong, Jiawei Han. 263-272 [doi]
- Applying Space Syntax to Online Mapping ToolsYandi Li, Nicola Barbieri, Daniele Quercia. 273-282 [doi]
- Semantic-aware Query Processing for Activity TrajectoriesHuiwen Liu, Jiajie Xu, Kai Zheng, Chengfei Liu, Lan Du, Xian Wu. 283-292 [doi]
- Keeping Apace with Progress in Natural Language ProcessingClaire Cardie. 293 [doi]
- Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author IdentificationTing Chen, Yizhou Sun. 295-304 [doi]
- Beyond the Words: Predicting User Personality from Heterogeneous InformationHonghao Wei, Fuzheng Zhang, Nicholas Jing Yuan, Chuan Cao, Hao Fu, Xing Xie, Yong Rui, Wei-Ying Ma. 305-314 [doi]
- German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value PairsMarius Pasca. 315-324 [doi]
- Comparative Document Analysis for Large Text CorporaXiang Ren, Yuanhua Lv, Kuansan Wang, Jiawei Han. 325-334 [doi]
- Constructing and Embedding Abstract Event Causality Networks from Text SnippetsSendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai. 335-344 [doi]
- Fun Facts: Automatic Trivia Fact Extraction from WikipediaDavid Tsurel, Dan Pelleg, Ido Guy, Dafna Shahaf. 345-354 [doi]
- Related Event DiscoveryCheng Li, Michael Bendersky, Vijay Garg, Sujith Ravi. 355-364 [doi]
- Lightweight Multilingual Entity Extraction and LinkingAasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani. 365-374 [doi]
- Predicting Completeness in Knowledge BasesLuis Galárraga, Simon Razniewski, Antoine Amarilli, Fabian M. Suchanek. 375-383 [doi]
- Synthesis of Forgiving Data ExtractorsAdi Omari, Sharon Shoham, Eran Yahav. 385-394 [doi]
- Concept Embedded Convolutional Semantic Model for Question RetrievalPengwei Wang, Yong Zhang, Lei Ji, Jun Yan, Lianwen Jin. 395-403 [doi]
- Summarizing Answers in Non-Factoid Community Question-AnsweringHongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke. 405-414 [doi]
- Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question AnsweringJong-Hoon Oh, Kentaro Torisawa, Canasai Kruengkrai, Ryu Iida, Julien Kloetzer. 415-424 [doi]
- Joint Deep Modeling of Users and Items Using Reviews for RecommendationLei Zheng, Vahid Noroozi, Philip S. Yu. 425-434 [doi]
- Multi-Product Utility Maximization for Economic RecommendationQi Zhao, Yongfeng Zhang, Yi Zhang, Daniel Friedman. 435-443 [doi]
- Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist GenerationShay Ben-Elazar, Gal Lavee, Noam Koenigstein, Oren Barkan, Hilik Berezin, Ulrich Paquet, Tal Zaccai. 445-453 [doi]
- Temporally Factorized Network Modeling for Evolutionary Network AnalysisWenchao Yu, Charu C. Aggarwal, Wei Wang 0010. 455-464 [doi]
- Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation PriorsXinran He, Yan Liu. 465-474 [doi]
- Online Matrix Completion for Signed Link PredictionJing Wang, Jie Shen, Ping Li, Huan Xu. 475-484 [doi]
- Social Collaborative Viewpoint Regression with Explainable RecommendationsZhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke. 485-494 [doi]
- Recurrent Recommender NetworksChao-Yuan Wu, Amr Ahmed, Alex Beutel, Alexander J. Smola, How Jing. 495-503 [doi]
- Bartering Books to Beers: A Recommender System for Exchange PlatformsJérémie Rappaz, Maria-Luiza Vladarean, Julian McAuley, Michele Catasta. 505-514 [doi]
- Neural Survival RecommenderHow Jing, Alexander J. Smola. 515-524 [doi]
- Directed Edge Recommender SystemIos Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala. 525-533 [doi]
- Machine Learning at AmazonRalf Herbrich. 535 [doi]
- Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User BehaviorTim Althoff, Pranav Jindal, Jure Leskovec. 537-546 [doi]
- Social Incentive Optimization in Online Social NetworksGuangde Chen, Bee-Chung Chen, Deepak Agarwal. 547-556 [doi]
- Counting Graphlets: Space vs TimeMarco Bressan 0002, Flavio Chierichetti, Ravi Kumar 0001, Stefano Leucci 0001, Alessandro Panconesi. 557-566 [doi]
- Representation Learning with Pair-wise Constraints for Collaborative RankingFuzhen Zhuang, Dan Luo, Nicholas Jing Yuan, Xing Xie, Qing He. 567-575 [doi]
- Statistical Spoken Dialogue Systems and the Challenges for Machine LearningSteve Young. 577 [doi]
- Primum Non Nocere: Healthcare In The Digital AgeAnjali Joshi. 579 [doi]
- Managing Risk of Bidding in Display AdvertisingHaifeng Zhang, Weinan Zhang, Yifei Rong, Kan Ren, Wenxin Li, Jun Wang. 581-590 [doi]
- Predicting Online Purchase Conversion for RetargetingJinyoung Yeo, SungChul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka. 591-600 [doi]
- Motifs in Temporal NetworksAshwin Paranjape, Austin R. Benson, Jure Leskovec. 601-610 [doi]
- Modeling Air Travel Choice Behavior with Mixed Kernel Density EstimationsZhenni Feng, Yanmin Zhu, Jian Cao. 611-620 [doi]
- Location Influence in Location-based Social NetworksMuhammad Aamir Saleem, Rohit Kumar 0002, Toon Calders, Xike Xie, Torben Bach Pedersen. 621-630 [doi]
- Probabilistic Social Sequential Model for Tour RecommendationVineeth Rakesh, Niranjan Jadhav, Alexander Kotov, Chandan K. Reddy. 631-640 [doi]
- Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutionsAlex Deng, Jiannan Lu, Jonthan Litz. 641-649 [doi]
- Learning Sensitive Combinations of A/B Test MetricsEugene Kharitonov, Alexey Drutsa, Pavel Serdyukov. 651-659 [doi]
- Real-Time Bidding by Reinforcement Learning in Display AdvertisingHan Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo. 661-670 [doi]
- Deep Memory Networks for Attitude IdentificationCheng Li, Xiaoxiao Guo, Qiaozhu Mei. 671-680 [doi]
- D-Cube: Dense-Block Detection in Terabyte-Scale TensorsKijung Shin, Bryan Hooi, Jisu Kim, Christos Faloutsos. 681-689 [doi]
- Modeling Document Networks with Tree-Averaged Copula RegularizationYuan He, Cheng Wang, Changjun Jiang. 691-699 [doi]
- Multilinear Factorization Machines for Multi-Task Multi-View LearningChun-Ta Lu, LiFang He, Weixiang Shao, Bokai Cao, Philip S. Yu. 701-709 [doi]
- Algorithms for Active Classifier Selection: Maximizing Recall with Precision ConstraintsPaul N. Bennett, David Maxwell Chickering, Christopher Meek, Xiaojin Zhu. 711-719 [doi]
- DiSMEC: Distributed Sparse Machines for Extreme Multi-label ClassificationRohit Babbar, Bernhard Schölkopf. 721-729 [doi]
- Label Informed Attributed Network EmbeddingXiao Huang, Jundong Li, Xia Hu. 731-739 [doi]
- Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous NetworksLinchuan Xu, Xiaokai Wei, Jiannong Cao, Philip S. Yu. 741-749 [doi]
- Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link PredictionYi Tay, Anh Tuan Luu, Siu Cheung Hui, Falk Brauer. 751-760 [doi]
- S-HOT: Scalable High-Order Tucker DecompositionJinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu. 761-770 [doi]
- Unsupervised Ranking using Graph Structures and Node AttributesChin-Chi Hsu, Yi-An Lai, Wen-Hao Chen, Ming-Han Feng, Shou-de Lin. 771-779 [doi]
- Unbiased Learning-to-Rank with Biased FeedbackThorsten Joachims, Adith Swaminathan, Tobias Schnabel. 781-789 [doi]
- Learning from User Interactions in Personal Search via Attribute ParameterizationMichael Bendersky, Xuanhui Wang, Donald Metzler, Marc Najork. 791-799 [doi]
- Delving Deep into Personal Photo and Video SearchLu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann. 801-810 [doi]
- Harnessing the Power of Data Science through ResearchAndrew Blake. 811 [doi]
- Neural Text Embeddings for Information RetrievalBhaskar Mitra, Nick Craswell. 813-814 [doi]
- Utilizing Knowledge Graphs in Text-centricInformation RetrievalLaura Dietz, Alexander Kotov, Edgar Meij. 815-816 [doi]
- Social Media Anomaly Detection: Challenges and SolutionsYan Liu, Sanjay Chawla. 817-818 [doi]
- Workshop on Scholarly Web Mining (SWM 2017)Robert M. Patton, Thomas E. Potok, Petr Knoth, Drahomira Herrmannova. 819-820 [doi]
- Mining Actionable Insights from Social Networksat WSDM 2017Faezeh Ensan, Zeinab Noorian, Ebrahim Bagheri. 821-822 [doi]
- 1st International Workshop on Search and Mining Terrorist Online Content & Advances in Data Science for Cyber Security and Risk on the WebTheodora Tsikrika, Babak Akhgar, Vasilis Katos, Stefanos Vrochidis, Pete Burnap, Matthew L. Williams. 823-824 [doi]
- WSDM 2017 Workshop on Mining Online Health Reports: MOHRS 2017Nigel Collier, Nut Limsopatham, Aron Culotta, Mike Conway, Ingemar J. Cox, Vasileios Lampos. 825-826 [doi]
- WSDM Cup 2017: Vandalism Detection and Triple ScoringStefan Heindorf, Martin Potthast, Hannah Bast, Björn Buchhold, Elmar Haussmann. 827-828 [doi]
- Beyond Query Logs: Recommendation and EvaluationMatthew Ryan Mitsui. 829 [doi]
- Recommender Systems: Research DirectionManoj Reddy Dareddy. 831 [doi]
- Modeling Source Code to Support Retrieval-Based ApplicationsVenkatesh Vinayakarao. 833 [doi]
- Scalable Text AnalysisZijun Xue. 835 [doi]
- Quantifying and Bursting the Online Filter BubbleKiran Garimella. 837 [doi]
- New Probabilistic Models for Recommender Systems with Rich Contextual and Content InformationEliezer de Souza da Silva. 839 [doi]
- Mining Medical Causality for Diagnosis AssistanceSendong Zhao. 841 [doi]
- Adapting Information Retrieval to User Signals via Stochastic ModelsMaria Maistro. 843 [doi]
- Modeling Navigation in Information NetworksDimitar Dimitrov. 845 [doi]