Detailed Schedule

Industry Day, Doctoral Consortium and Tutorials
Monday, February 5

	Salon 1	Marina Vista	Salon II & III	Admiralty	Pavillion	Plaza	Ballroom Terrace
8:00am	Early Morning Coffee Break
9am	VC & Industry Day	Doctoral Consortium	Tutorial Neural Networks for Information Retrieval	Tutorial A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries	Tutorial Athlytics: Winning in Sports with Data	Tutorial Differential Privacy for Information Retrieval	Tutorial Influence Maximization in Online Social Networks
10:00am	Coffee Break
10:30am	VC & Industry Day	Doctoral Consortium	Tutorial Neural Networks for Information Retrieval	Tutorial A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries	Tutorial Athlytics: Winning in Sports with Data	Tutorial Differential Privacy for Information Retrieval	Tutorial Influence Maximization in Online Social Networks
12:30pm	Lunch
1:30pm	VC & Industry Day	Tutorial Metrics of User Engagement: Applications to News, Search and E-Commerce	Tutorial Neural Networks for Information Retrieval	Tutorial Network Science of Teams: Characterization, Prediction, and Optimization			Tutorial Mining Knowledge Graphs From Text
3:00pm	Coffee Break
3:30pm	VC & Industry Day	Tutorial Metrics of User Engagement: Applications to News, Search and E-Commerce	Tutorial Neural Networks for Information Retrieval	Tutorial Network Science of Teams: Characterization, Prediction, and Optimization			Tutorial Mining Knowledge Graphs From Text
5pm
6:30pm
7pm	Reception Ballroom Promenade & Pre-Function
10pm

Main Conference
Tuesday, February 6

Room: Large Hall

8am	Early Morning Coffee Break
8:45am	Conference Opening
9am	Keynote Harry Shum Microsoft Title: From Search to Research: Direct answers, Perspectives and Dialog Session Chair: Yi Chang
10am	Coffee Break
10:30am	Paper Presentations Search and Questions Answering Session Chair: Paul Bennett Long Modelling Domain Relationships for Transfer Learning on Chatbot-based Question Answering Systems Jianfei Yu, Minghui Qiu, Jing Jiang, Shuangyong Song, Jun Huang, Wei Chu and Haiqing Chen Long Why People Search for Images using Web Search Engines Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang and Shaoping Ma Long User Intent, Behaviour, and Perceived Satisfaction in Product Search Ning Su, Jiyin He, Yiqun Liu, Min Zhang and Shaoping Ma Long Position Bias Estimation for Unbiased Learning to Rank in Personal Search Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler and Marc Najork Long Identifying Informational vs. Conversational Questionson Community Question Answering Archives Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach and Bracha Shapira
12:30pm	Lunch
2pm	Keynote Igor Perisic LinkedIn Title: Conversations, Machine Learning and Privacy: LinkedIn's Path towards Transforming Interaction with its Members Session Chair: Chengxiang Zhai
3:00pm	Coffee Break
3:30pm	Spotlight Presentation Session Session Chair: Yoelle Maarek & Yan Liu See the full list of spotlight presentations Spotlight Topic Chronicle Forest for Topic Discovery and Tracking Noriaki Kawamae Spotlight Exploring Expert Cognition for Attributed Network Embedding Xiao Huang, Qingquan Song, Jundong Li and Xia Ben Hu Spotlight Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding Jiaxi Tang and Ke Wang Spotlight Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search Zhuyun Dai, Chenyan Xiong, Jamie Callan and Zhiyuan Liu Spotlight Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation Yashoteja Prabhu, Shilpa Gopinath, Kunal Dahiya, Anil Kag, Shrutendra Harsola, Rahul Agrawal and Manik Varma Spotlight Demographics and Dynamics of Mechanical Turk Workers Djellel Difallah, Elena Filatova and Panos Ipeirotis Spotlight Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering Yi Tay, Anh Tuan Luu and Siu Cheung Hui Spotlight SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo and Qi Liu Spotlight A Unified Processing Paradigm for Interactive Location-based Web Search Sheng Wang, Zhifeng Bao, Shixun Huang and Rui Zhang Spotlight Sequential Recommendation with User Memory Networks Xu Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Hongyuan Zha, Zheng Qin and Jiaxi Tang Spotlight Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd labels Kamran Ghasedi Dizaji and Heng Huang Spotlight Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches Armita Afsharinejad and Neil Hurley Spotlight Streaming Link Prediction on Dynamic Attributed Networks Jundong Li, Kewei Cheng, Liang Wu and Huan Liu Spotlight Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation Ming He, Jiuling Zhang, Peng Yang and Kaisheng Yao Spotlight Query Driven Algorithm Selection in Early Stage Retrieval Joel Mackenzie, Shane Culpepper, Roi Blanco, Matt Crane, Charles Clarke and Jimmy Lin Spotlight Characterizing Social Media Messages by How They Propagate Liang Wu and Huan Liu Spotlight Peeling Bipartite Networks for Dense Subgraph Discovery Ahmet Erdem Sarıyüce and Ali Pinar Spotlight Multidimensional network embedding with hierarchical structures Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang and Dawei Yin Spotlight Predicting Multi-step Citywide Passenger Demands using Attention-based Neural Networks Xian Zhou, Yanyan Shen, Yanmin Zhu and Linpeng Huang Spotlight Modeling Time to Open of Emails with a Latent State for User Engagement Level Moumita Sinha, Vishwa Vinay and Harvineet Singh Spotlight Can you Trust the Trend? Discovering Simpson's Paradoxes in Social Data Nazanin Alipourfard, Peter Fennell and Kristina Lerman Spotlight Discrete Deep Learning for Fast Content-Aware Recommendation Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang and Defu Lian Spotlight ERM-PACRR: A Neural IR model with Enhanced Relevance Matching Kai Hui, Andrew Yates, Klaus Berberich and Gerard de Melo Spotlight Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu and Tie-Yan Liu Spotlight CrossFire: Cross Media Joint Friend and Item Recommendations Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang and Huan Liu Spotlight VISIR: Visual and Semantic Image Label Refinement Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu and Gerhard Weikum Spotlight Sketch 'Em All: Approximate Similarity Search for Dynamic Data Streams Marc Bury, Chris Schwiegelshohn and Mara Sorella Spotlight Improving Negative Sampling for Word Representation using Self-embedded Features Long Chen, Fajie Yuan, Joemon Jose and Weinan Zhang Spotlight Shortcutting Label Propagation for Distributed Connected Components Stergios Stergiou, Dipen Rughwani and Kostas Tsioutsiouliklis Spotlight Consistent Transformation of Ratio Metrics for Efficient Online Controlled Experiments Roman Budylin, Alexey Drutsa, Ilya Katsev and Valeriya Tsoy Spotlight Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration Tobias Schnabel, Paul Bennett, Susan Dumais and Thorsten Joachims Spotlight A Discrete Choice Model for Subset Selection Austin Benson, Ravi Kumar and Andrew Tomkins Spotlight Dynamic Word Embeddings for Evolving Semantic Discovery Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao and Hui Xiong Spotlight FACH: Fast Algorithm for Detecting Cohesive Hierarchies of Communities in Large Networks Mojtaba Rezvani, Qing Wang and Weifa Liang Spotlight Predicting the Image Propagation Path in Online Social Networks Wenjian Hu, Krishna Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah and Yong Jae Lee Spotlight Customer Purchase Behavior Prediction from Payment Datasets Yu-Ting Wen, Wen-Chih Peng, Pei-Wen Yeh and Hong-Han Shuai Spotlight Inferring Dockless Shared Bike Distribution in New Cities Zhaoyang Liu, Yanyan Shen and Yanmin Zhu Spotlight Indirect Supervision for Relation Extraction using Question-Answer Pairs Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li and Jiawei Han Spotlight Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning Meng Qu, Jian Tang and Jiawei Han Spotlight Transformer: A Unified End-to-End Neural Approach for Open-Domain Information Extraction Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng and Ping Li Spotlight Learning to Rank Personal Photos for Public Sharing Ido Guy, Alexander Nus, Dan Pelleg and Idan Szpektor Spotlight Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu and Tao Zhang Spotlight Web Search of Fashion Items with Multimodal Querying Katrien Laenen, Susana Zoghbi and Marie-Francine Moens Spotlight Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects Qian Yu and Wai Lam Spotlight Fast Coreset-Based Max-Sum Diversity under Matroid Constraints Matteo Ceccarello, Andrea Pietracaprina and Geppino Pucci Spotlight Fusing Diversity in Recommendations in Heterogeneous Information Networks Sharad Nandanwar, Aayush Moroney and Narasimha Murty Musti Spotlight Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs Saehan Jo, Jaemin Yoo and U Kang Spotlight Collaborative Filtering Via Additive Ordinal Regression Jun Hu and Ping Li Spotlight Learning to Discover Domain-specific Web Content Kien Pham, Aecio Santos and Juliana Freire Spotlight Measuring the Latency of Depression Detection in Social Media Farig Sadeque, Dongfang Xu and Steven Bethard Spotlight Neural Personalized Ranking for Image Recommendation Wei Niu, James Caverlee and Haokai Lu Spotlight Rev2: Fraudulent User Prediction in Rating Platforms Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos and V.S. Subrahmanian Spotlight Neural Ranking Models with Multiple Document Fields Hamed Zamani, Bhaskar Mitra, Xia Song, Saurabh Tiwary and Nick Craswell Spotlight Neural Graph Learning: Training Neural Networks Using Graphs Thang Bui, Sujith Ravi and Vivek Ramavajjala Spotlight Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images Saeid Balaneshinkordan and Alexander Kotov Spotlight sSketch: A Scalable Sketching Technique for PCA in the Cloud Md. Mehrab Tanjim and Muhammad Abdullah Adnan Spotlight User Profiling through Deep Multimodal Fusion Golnoosh Farnadi, Jie Tang, Martine De Cock and Marie-Francine Moens
5:30pm	Poster Setup
6:30pm	Poster Session
10:00pm

Main Conference
Wednesday, February 7

Room: Large Hall

8am	Early Morning Coffee Break
9am	Keynote Shanghua Teng University of Southern California Title: Scalable Algorithms in the Age of Big Data and Network Sciences: Characterization, Primitives, and Techniques Session Chair: Yan Liu
10am	Coffee Break
10:30am	Paper Presentations Crowdsourcing and Learning from Users Session Chair: Evgeniy Gabrilovich Long Cognitive Biases in Crowdsourcing Carsten Eickhoff Long Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons Tom Hope and Dafna Shahaf Long Orienteering Algorithms for Generating Travel Itinerariess Zachary Friggstad, Sreenivas Gollapudi, Kostas Kollias, Tamas Sarlos, Chaitanya Swamy and Andrew Tomkins Long Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach Parisa Kaghazgaran, James Caverlee and Anna Squicciarini Long Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf and Manuel Gomez Rodriguez
12:30pm	Lunch
2pm	Keynote Judea Pearl UCLA Title: Theoratical Impediments to Machine Learning With Seven Sparks from the Causal Revolution Session Chair: Chengxiang Zhai
3:00pm	Coffee Break
3:30pm	Paper Presentations Matrix Factorization and Recommender Systems Session Chair: Huan Liu Long DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching Yuqiu Qian,Conghui Tan,Nikos Mamoulis and David W. Cheung Long Micro Behaviors: A New Perspective in E-commerce Recommender Systems Meizi Zhou, Zhuoye Ding, Jiliang Tang and Dawei Yin Long OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, ChengKang Hsieh and Deborah Estrin Long Latent Cross: Making Use of Context in Recurrent Recommender Systems Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto and Ed H. Chi Long Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter Preethi Lahoti, Kiran Garimella and Aristides Gionis
5:30pm
6:30pm	Guest Boarding the Yacht
7:15pm	Conference Banquet FantaSea One Yacht & RegentSea Yacht
10:00pm

Main Conference
Thursday, February 8

Room: Large Hall

8am	Early Morning Coffee Break
9am	Keynote Andrei Broder Google Title: A Call To Arms: Embrace Assistive AI Systems! Session Chair: Yoelle Maarek
10am	Coffee Break
10:30am	Paper Presentation Ads, Finance and More Matrix Factorization Session Chair: Mounia Lalmas Long Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests Suhas Ranganath, Ghazaleh Beigi and Huan Liu Long Predicting Audio Advertisement Quality Samaneh Ebrahimi,Hossein Vahabi,Matthew Prockup and Oriol Nieto Long Putting Data in the Driver’s Seat: Optimizing Earnings for On-Demand Ride-Hailing Harshal Chaudhari, John Byers and Evimaria Terzi Long Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang and Jie Tang Long A Path-constrained Framework for Discriminating Substitutable and Complementary Products in Ecommerce (Best Paper Nominee) Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang and Dawei Yin
12:30pm	Business Meeting Lunch
2:30pm	Keynote Jiawei Han UIUC Title: On the Power of Massive Text Data Session Chair: Yan Liu
3:30pm	Coffee Break
4:00pm	Paper Presentation Best Paper Nominees Session Chair: Marc Najork Long Unsubscription: A Simple Way to Ease Overload in Email Iftah Gamzu, Liane Lewin-Eytan and Natalia Silberstein Long Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts Alistair Moffat and Matthias Petri Long Offline A/B testing for recommender systems Alexandre Gilotte, Clement Calauzenes, Thomas Nedelec, Alexandre Abraham and Simon Dolle
5:15pm	Conference Close
5:30pm

WSDM CUP & Workshops
Friday, February 9

	Marina Vista	Plaza	Salon II	Salon I	Pavillion	Admiralty	Salon III	Ballroom Terrace
8:00am	Early Morning Coffee Break
9am	WSDM CUP Workshop	Workshop Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth	Workshop MIS2: Misinformation and Misbehavior Mining on the Web	Workshop First Workshop on Knowledge Base Construction, Mining and Reasoning	Workshop HeteroHAM: International Workshop on Heterogeneous Networks Analysis and Mining	Workshop The 5th Int'l Workshop on Social Weeb for Disaster Manager (SWDM'18): Collective Sensing, Trust and Resilience in Global Crises	Workshop LearnIR: WSDM 2018 Workshop on Learning from User Interactions	Workshop GTA 2018: Workshop on Graph Techniques for Adversarial Activity Analytics
10:00am	Coffee Break
10:30am	WSDM CUP Workshop	Workshop Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth	Workshop MIS2: Misinformation and Misbehavior Mining on the Web	Workshop First Workshop on Knowledge Base Construction, Mining and Reasoning	Workshop HeteroHAM: International Workshop on Heterogeneous Networks Analysis and Mining	Workshop The 5th Int'l Workshop on Social Weeb for Disaster Manager (SWDM'18): Collective Sensing, Trust and Resilience in Global Crises	Workshop LearnIR: WSDM 2018 Workshop on Learning from User Interactions	Workshop GTA 2018: Workshop on Graph Techniques for Adversarial Activity Analytics
12:30pm	Lunch
1:30pm	WSDM CUP Workshop	Workshop Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth	Workshop MIS2: Misinformation and Misbehavior Mining on the Web	Workshop First Workshop on Knowledge Base Construction, Mining and Reasoning	Workshop HeteroHAM: International Workshop on Heterogeneous Networks Analysis and Mining	Workshop The 5th Int'l Workshop on Social Weeb for Disaster Manager (SWDM'18): Collective Sensing, Trust and Resilience in Global Crises	Workshop LearnIR: WSDM 2018 Workshop on Learning from User Interactions	Workshop IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization
3:00pm	Coffee Break
3:30pm	WSDM CUP Workshop	Workshop Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth	Workshop MIS2: Misinformation and Misbehavior Mining on the Web	Workshop First Workshop on Knowledge Base Construction, Mining and Reasoning	Workshop HeteroHAM: International Workshop on Heterogeneous Networks Analysis and Mining	Workshop The 5th Int'l Workshop on Social Weeb for Disaster Manager (SWDM'18): Collective Sensing, Trust and Resilience in Global Crises	Workshop LearnIR: WSDM 2018 Workshop on Learning from User Interactions	Workshop IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization
5pm