| 1 | | Learning from User Interactions in Personal Search via Attribute Parameterization | | 0 | | Donald Metzler, Marc Najork, Michael Bendersky, Xuanhui Wang | |
| 2 | | Does Document Relevance Affect the Searcher's Perception of Time? | | 0 | | Cheng Luo, Fan Zhang, Ke Zhou, Shaoping Ma, Tetsuya Sakai, Xue Li, Yiqun Liu | |
| 3 | | Click Through Rate Prediction for Local Search Results | | 0 | | Fidel Cacheda, Nicola Barbieri, Roi Blanco | |
| 4 | | ANNE: Improving Source Code Search using Entity Retrieval Approach | | 0 | | Anita Sarma, Rahul Purandare, Saumya Jain, Shuktika Jain, Venkatesh Vinayakarao | |
| 5 | | Social Collaborative Viewpoint Regression with Explainable Recommendations | | 0 | | Maarten de Rijke, Piji Li, Shangsong Liang, Shuaiqiang Wang, Zhaochun Ren | |
| 6 | | Representation Learning with Pair-wise Constraints for Collaborative Ranking | | 0 | | Dan Luo, Fuzhen Zhuang, Nicholas Jing Yuan, Qing He, Xing Xie | |
| 7 | | Probabilistic Social Sequential Model for Tour Recommendation | | 0 | | Alexander Kotov, Chandan K. Reddy, Niranjan Jadhav, Vineeth Rakesh | |
| 8 | | Delving Deep into Personal Photo and Video Search | | 0 | | Alexander G. Hauptmann, Jiliang Tang, Liangliang Cao, Lu Jiang, Sachin Farfade, Yannis Kalantidis | |
| 9 | | Neural Text Embeddings for Information Retrieval | | 0 | | Bhaskar Mitra, Nick Craswell | |
| 10 | | Beyond Query Logs: Recommendation and Evaluation | | 0 | | Matthew Ryan Mitsui | |
| 11 | | Recommender Systems: Research Direction | | 0 | | Manoj Reddy Dareddy | |
| 12 | | Investigation of User Search Behavior While Facing Heterogeneous Search Services | | 0 | | Rongjie Cai, Shaoping Ma, Xin Li, Yiqun Liu | |
| 13 | | Joint Deep Modeling of Users and Items Using Reviews for Recommendation | | 0 | | Lei Zheng, Philip S. Yu, Vahid Noroozi | |
| 14 | | Unbiased Learning-to-Rank with Biased Feedback | | 0 | | Adith Swaminathan, Thorsten Joachims, Tobias Schnabel | |
| 15 | | Document Retrieval Model Through Semantic Linking | | 0 | | Ebrahim Bagheri, Faezeh Ensan | |
| 16 | | Partitioning and Segment Organization Strategies for Real-Time Selective Search on Document Streams | | 0 | | Jimmy Lin, Yulu Wang | |
| 17 | | Semantic-aware Query Processing for Activity Trajectories | | 0 | | Chengfei Liu, Huiwen Liu, Jiajie Xu, Kai Zheng, Lan Du, Xian Wu | |
| 18 | | Beyond the Words: Predicting User Personality from Heterogeneous Information | | 0 | | Chuan Cao, Fuzheng Zhang, Hao Fu, Honghao Wei, Nicholas Jing Yuan, WeiYing Ma, Xing Xie, Yong Rui | |
| 19 | | Concept Embedded Convolutional Semantic Model for Question Retrieval | | 0 | | Jun Yan, Lei Ji, Lianwen Jin, Pengwei Wang, Yong Zhang | |
| 20 | | Multi-Product Utility Maximization for Economic Recommendation | | 0 | | Daniel Friedman, Qi Zhao, Yi Zhang, Yongfeng Zhang | |
| 21 | | Predicting Online Purchase Conversion for Retargeting | | 0 | | Eunyee Koh, Jinyoung Yeo, Nedim Lipka, Seungwon Hwang, Sungchul Kim | |
| 22 | | Adapting Information Retrieval to User Signals via Stochastic Models | | 0 | | Maria Maistro | |
| 23 | | Evolution of Ego-networks in Social Media with Link Recommendations | | 0 | | Luca Maria Aiello, Nicola Barbieri | |
| 24 | | Learning Parametric Models for Context-Aware Query Auto-Completion via Hawkes Processes | | 0 | | Hongbo Deng, Jianhui Chen, Liangda Li, Yi Chang | |
| 25 | | A Comparison of Document-at-a-Time and Score-at-a-Time Query Evaluation | | 0 | | Andrew Trotman, J. Shane Culpepper, Jimmy Lin, Joel M. Mackenzie, Matt Crane | |
| 26 | | Modeling Event Importance for Ranking Daily News Events | | 0 | | Abhijit Anand, Arunav Mishra, Avishek Anand, Vinay Setty | |
| 27 | | A Concise Integer Linear Programming Formulation for Implicit Search Result Diversification | | 0 | | Adam Jatowt, Fajie Yuan, Haitao Yu, Hideo Joho, Joemon M. Jose, Long Chen, Roi Blanco | |
| 28 | | Neural Models for Full Text Search | | 0 | | Nick Craswell | |
| 29 | | Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification | | 0 | | Ting Chen, Yizhou Sun | |
| 30 | | Constructing and Embedding Abstract Event Causality Networks from Text Snippets | | 0 | | Bin Wang, Bing Qin, ChengXiang Zhai, Quan Wang, Sean Massung, Sendong Zhao, Ting Liu | |
| 31 | | Groove Radio: A Bayesian Hierarchical Model for Personalized Playlist Generation | | 0 | | Gal Lavee, Hilik Berezin, Noam Koenigstein, Oren Barkan, Shay BenElazar, Tal Zaccai, Ulrich Paquet | |
| 32 | | Recurrent Recommender Networks | | 0 | | Alex Beutel, Alexander J. Smola, Amr Ahmed, ChaoYuan Wu, How Jing | |
| 33 | | Bartering Books to Beers: A Recommender System for Exchange Platforms | | 0 | | Julian J. McAuley, Jérémie Rappaz, MariaLuiza Vladarean, Michele Catasta | |
| 34 | | Neural Survival Recommender | | 0 | | Alexander J. Smola, How Jing | |
| 35 | | Directed Edge Recommender System | | 0 | | Ashwin Machanavajjhala, Elena Zheleva, Ios Kotsogiannis | |
| 36 | | Multilinear Factorization Machines for Multi-Task Multi-View Learning | | 0 | | Bokai Cao, ChunTa Lu, Lifang He, Philip S. Yu, Weixiang Shao | |
| 37 | | Label Informed Attributed Network Embedding | | 0 | | Jundong Li, Xia Hu, Xiao Huang | |
| 38 | | Embedding of Embedding (EOE): Joint Embedding for Coupled Heterogeneous Networks | | 0 | | Jiannong Cao, Linchuan Xu, Philip S. Yu, Xiaokai Wei | |
| 39 | | Unsupervised Ranking using Graph Structures and Node Attributes | | 0 | | ChinChi Hsu, MingHan Feng, ShouDe Lin, WenHao Chen, YiAn Lai | |
| 40 | | Harnessing the Power of Data Science through Research | | 0 | | Andrew Blake | |
| 41 | | Utilizing Knowledge Graphs in Text-centricInformation Retrieval | | 0 | | Alexander Kotov, Edgar Meij, Laura Dietz | |
| 42 | | Modeling Source Code to Support Retrieval-Based Applications | | 0 | | Venkatesh Vinayakarao | |
| 43 | | New Probabilistic Models for Recommender Systems with Rich Contextual and Content Information | | 0 | | Eliezer de Souza da Silva | |
| 44 | | Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior | | 0 | | Jure Leskovec, Pranav Jindal, Tim Althoff | |
| 45 | | The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling | | 0 | | Daniel M. Romero, Katharina Reinecke, Lionel P. Robert Jr. | |
| 46 | | Modeling Air Travel Choice Behavior with Mixed Kernel Density Estimations | | 0 | | Jian Cao, Yanmin Zhu, Zhenni Feng | |
| 47 | | Trustworthy Analysis of Online A/B Tests: Pitfalls, challenges and solutions | | 0 | | Alex Deng, Jiannan Lu, Jonthan Litz | |
| 48 | | How Smart Does Your Profile Image Look?: Estimating Intelligence from Social Network Profile Images | | 0 | | David Stillwell, Xingjie Wei | |
| 49 | | Leveraging Behavioral Factorization and Prior Knowledge for Community Discovery and Profiling | | 0 | | Mohammad Akbari, TatSeng Chua | |
| 50 | | RedQueen: An Online Algorithm for Smart Broadcasting in Social Networks | | 0 | | Ali Zarezade, Hamid R. Rabiee, Manuel GomezRodriguez, Utkarsh Upadhyay | |
| 51 | | A Cost Model for Long-Term Compressed Data Retention | | 0 | | Alistair Moffat, Anthony Wirth, Kewen Liao, Matthias Petri | |
| 52 | | PRED: Periodic Region Detection for Mobility Modeling of Social Media Users | | 0 | | Chao Zhang, Gao Cong, Jiawei Han, Quan Yuan, Wei Zhang, Xinhe Geng | |
| 53 | | Applying Space Syntax to Online Mapping Tools | | 0 | | Daniele Quercia, Nicola Barbieri, Yandi Li | |
| 54 | | Online Matrix Completion for Signed Link Prediction | | 0 | | Huan Xu, Jie Shen, Jing Wang, Ping Li | |
| 55 | | Machine Learning at Amazon | | 0 | | Ralf Herbrich | |
| 56 | | Social Incentive Optimization in Online Social Networks | | 0 | | BeeChung Chen, Deepak Agarwal, Guangde Chen | |
| 57 | | Statistical Spoken Dialogue Systems and the Challenges for Machine Learning | | 0 | | Steve J. Young | |
| 58 | | Managing Risk of Bidding in Display Advertising | | 0 | | Haifeng Zhang, Jun Wang, Kan Ren, Weinan Zhang, Wenxin Li, Yifei Rong | |
| 59 | | Real-Time Bidding by Reinforcement Learning in Display Advertising | | 0 | | Defeng Guo, Han Cai, Jun Wang, Kan Ren, Kleanthis Malialis, Weinan Zhang, Yong Yu | |
| 60 | | Learning Sensitive Combinations of A/B Test Metrics | | 0 | | Alexey Drutsa, Eugene Kharitonov, Pavel Serdyukov | |
| 61 | | Random Semantic Tensor Ensemble for Scalable Knowledge Graph Link Prediction | | 0 | | Anh Tuan Luu, Falk Brauer, Siu Cheung Hui, Yi Tay | |
| 62 | | Quantifying and Bursting the Online Filter Bubble | | 0 | | Kiran Garimella | |
| 63 | | Ten Years of Wisdom | | 0 | | Ricardo BaezaYates | |
| 64 | | Enterprise Employee Training via Project Team Formation | | 0 | | Jiawei Zhang, Philip S. Yu, Yuanhua Lv | |
| 65 | | Raising Graphs From Randomness to Reveal Information Networks | | 0 | | András A. Benczúr, Róbert Pálovics | |
| 66 | | iPhone's Digital Marketplace: Characterizing the Big Spenders | | 0 | | Eric Bax, Farshad Kooti, Kristina Lerman, Luca Maria Aiello, Mihajlo Grbovic | |
| 67 | | Uncovering the Dynamics of Crowdlearning and the Value of Knowledge | | 0 | | Isabel Valera, Manuel GomezRodriguez, Utkarsh Upadhyay | |
| 68 | | Anticipating Information Needs Based on Check-in Activity | | 0 | | Jan R. Benetka, Kjetil Nørvåg, Krisztian Balog | |
| 69 | | Reducing Controversy by Connecting Opposing Views | | 0 | | Aristides Gionis, Gianmarco De Francisci Morales, Kiran Garimella, Michael Mathioudakis | |
| 70 | | Detecting and Characterizing Eating-Disorder Communities on Social Media | | 0 | | Antonella Ianni, Emmanouil Mentzakis, Markus Brede, Tao Wang | |
| 71 | | Link Prediction with Cardinality Constraint | | 0 | | Jianhui Chen, Jiawei Zhang, Junxing Zhu, Philip S. Yu, Yi Chang | |
| 72 | | Generating Illustrative Snippets for Open Data on the Web | | 0 | | Cheng Jin, Danyun Xu, Gong Cheng, Wentao Ding, Yuzhong Qu | |
| 73 | | Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts | | 0 | | Chaochun Liu, Huan Sun, Jing Gao, Nan Du, Qi Li, Wei Fan, Yaliang Li, Yusheng Xie | |
| 74 | | Keeping Apace with Progress in Natural Language Processing | | 0 | | Claire Cardie | |
| 75 | | German Typographers vs. German Grammar: Decomposition of Wikipedia Category Labels into Attribute-Value Pairs | | 0 | | Marius Pasca | |
| 76 | | Comparative Document Analysis for Large Text Corpora | | 0 | | Jiawei Han, Kuansan Wang, Xiang Ren, Yuanhua Lv | |
| 77 | | Fun Facts: Automatic Trivia Fact Extraction from Wikipedia | | 0 | | Dafna Shahaf, Dan Pelleg, David Tsurel, Ido Guy | |
| 78 | | Related Event Discovery | | 0 | | Cheng Li, Michael Bendersky, Sujith Ravi, Vijay Garg | |
| 79 | | Lightweight Multilingual Entity Extraction and Linking | | 0 | | Aasish Pappu, Amanda Stent, Kapil Thadani, Roi Blanco, Yashar Mehdad | |
| 80 | | Synthesis of Forgiving Data Extractors | | 0 | | Adi Omari, Eran Yahav, Sharon Shoham | |
| 81 | | Predicting Completeness in Knowledge Bases | | 0 | | Antoine Amarilli, Fabian M. Suchanek, Luis Galárraga, Simon Razniewski | |
| 82 | | Multi-Column Convolutional Neural Networks with Causality-Attention for Why-Question Answering | | 0 | | Canasai Kruengkrai, JongHoon Oh, Julien Kloetzer, Kentaro Torisawa, Ryu Iida | |
| 83 | | Summarizing Answers in Non-Factoid Community Question-Answering | | 0 | | Hongya Song, Jun Ma, Maarten de Rijke, Piji Li, Shangsong Liang, Zhaochun Ren | |
| 84 | | Not Enough Data?: Joint Inferring Multiple Diffusion Networks via Network Generation Priors | | 0 | | Xinran He, Yan Liu | |
| 85 | | Temporally Factorized Network Modeling for Evolutionary Network Analysis | | 0 | | Charu C. Aggarwal, Wei Wang, Wenchao Yu | |
| 86 | | Counting Graphlets: Space vs Time | | 0 | | Alessandro Panconesi, Flavio Chierichetti, Marco Bressan, Ravi Kumar, Stefano Leucci | |
| 87 | | Primum Non Nocere: Healthcare In The Digital Age | | 0 | | Anjali Joshi | |
| 88 | | Motifs in Temporal Networks | | 0 | | Ashwin Paranjape, Austin R. Benson, Jure Leskovec | |
| 89 | | Location Influence in Location-based Social Networks | | 0 | | Muhammad Aamir Saleem, Rohit Kumar, Toon Calders, Torben Bach Pedersen, Xike Xie | |
| 90 | | Modeling Document Networks with Tree-Averaged Copula Regularization | | 0 | | Changjun Jiang, Cheng Wang, Yuan He | |
| 91 | | D-Cube: Dense-Block Detection in Terabyte-Scale Tensors | | 0 | | Bryan Hooi, Christos Faloutsos, Jisu Kim, Kijung Shin | |
| 92 | | Deep Memory Networks for Attitude Identification | | 0 | | Cheng Li, Qiaozhu Mei, Xiaoxiao Guo | |
| 93 | | Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints | | 0 | | Christopher Meek, David Maxwell Chickering, Paul N. Bennett, Xiaojin Zhu | |
| 94 | | DiSMEC: Distributed Sparse Machines for Extreme Multi-label Classification | | 0 | | Bernhard Schölkopf, Rohit Babbar | |
| 95 | | S-HOT: Scalable High-Order Tucker Decomposition | | 0 | | Christos Faloutsos, Evangelos E. Papalexakis, Hwanjo Yu, Jinoh Oh, Kijung Shin | |
| 96 | | Social Media Anomaly Detection: Challenges and Solutions | | 0 | | Sanjay Chawla, Yan Liu | |
| 97 | | Mining Actionable Insights from Social Networksat WSDM 2017 | | 0 | | Ebrahim Bagheri, Faezeh Ensan, Zeinab Noorian | |
| 98 | | WSDM Cup 2017: Vandalism Detection and Triple Scoring | | 0 | | Björn Buchhold, Elmar Haussmann, Hannah Bast, Martin Potthast, Stefan Heindorf | |
| 99 | | Scalable Text Analysis | | 0 | | Zijun Xue | |
| 100 | | Mining Medical Causality for Diagnosis Assistance | | 0 | | Sendong Zhao | |
| 101 | | Modeling Navigation in Information Networks | | 0 | | Dimitar Dimitrov | |