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ORCID11th WSDM 2018: Marina Del Rey, CA, USA
- Yi Chang, Chengxiang Zhai, Yan Liu, Yoelle Maarek:
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018. ACM 2018, ISBN 978-1-4503-5581-0
Keynote Talks
- Andrei Z. Broder:
A Call to Arms: Embrace Assistive AI Systems! 1 - Jiawei Han:
On the Power of Massive Text Data. 2 - Judea Pearl:
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution. 3 - Igor Perisic:
Conversations, Machine Learning and Privacy: LinkedIn's Path Towards Transforming Interaction with Its Members. 4 - Harry Shum:
From Search to Research: Direct Answers, Perspectives and Dialog. 5 - Shang-Hua Teng:
Scalable Algorithms in the Age of Big Data and Network Sciences: Characterization, Primitives, and Techniques. 6-7
WSDM Cup 2018
- Yian Chen, Xing Xie
, Shou-De Lin, Arden Chiu:
WSDM Cup 2018: Music Recommendation and Churn Prediction. 8-9
Technical Presentations
- Armita Afsharinejad, Neil Hurley:
Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches. 10-18 - Nazanin Alipourfard, Peter G. Fennell, Kristina Lerman:
Can you Trust the Trend?: Discovering Simpson's Paradoxes in Social Data. 19-27 - Saeid Balaneshin Kordan, Alexander Kotov:
Deep Neural Architecture for Multi-Modal Retrieval based on Joint Embedding Space for Text and Images. 28-36 - Austin R. Benson, Ravi Kumar, Andrew Tomkins:
A Discrete Choice Model for Subset Selection. 37-45 - Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, Ed H. Chi:
Latent Cross: Making Use of Context in Recurrent Recommender Systems. 46-54 - Roman Budylin, Alexey Drutsa, Ilya Katsev, Valeriya Tsoy:
Consistent Transformation of Ratio Metrics for Efficient Online Controlled Experiments. 55-63 - Thang D. Bui, Sujith Ravi, Vivek Ramavajjala:
Neural Graph Learning: Training Neural Networks Using Graphs. 64-71 - Marc Bury, Chris Schwiegelshohn, Mara Sorella:
Sketch 'Em All: Fast Approximate Similarity Search for Dynamic Data Streams. 72-80 - Matteo Ceccarello, Andrea Pietracaprina, Geppino Pucci:
Fast Coreset-based Diversity Maximization under Matroid Constraints. 81-89 - Harshal A. Chaudhari, John W. Byers, Evimaria Terzi:
Putting Data in the Driver's Seat: Optimizing Earnings for On-Demand Ride-Hailing. 90-98 - Long Chen, Fajie Yuan, Joemon M. Jose, Weinan Zhang:
Improving Negative Sampling for Word Representation using Self-embedded Features. 99-107 - Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha:
Sequential Recommendation with User Memory Networks. 108-116 - Sreyasi Nag Chowdhury, Niket Tandon, Hakan Ferhatosmanoglu, Gerhard Weikum:
VISIR: Visual and Semantic Image Label Refinement. 117-125 - Zhuyun Dai, Chenyan Xiong, Jamie Callan, Zhiyuan Liu:
Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search. 126-134 - Djellel Eddine Difallah, Elena Filatova, Panos Ipeirotis:
Demographics and Dynamics of Mechanical Turk Workers. 135-143 - Kamran Ghasedi Dizaji, Yanhua Yang, Heng Huang:
Joint Generative-Discriminative Aggregation Model for Multi-Option Crowd Labels. 144-152 - Samaneh Ebrahimi, Hossein Vahabi, Matthew Prockup, Oriol Nieto:
Predicting Audio Advertisement Quality. 153-161 - Carsten Eickhoff:
Cognitive Biases in Crowdsourcing. 162-170 - Golnoosh Farnadi, Jie Tang, Martine De Cock, Marie-Francine Moens:
User Profiling through Deep Multimodal Fusion. 171-179 - Zachary Friggstad, Sreenivas Gollapudi, Kostas Kollias, Tamás Sarlós, Chaitanya Swamy, Andrew Tomkins:
Orienteering Algorithms for Generating Travel Itineraries. 180-188 - Iftah Gamzu, Liane Lewin-Eytan, Natalia Silberstein:
Unsubscription: A Simple Way to Ease Overload in Email. 189-197 - Alexandre Gilotte, Clément Calauzènes, Thomas Nedelec, Alexandre Abraham, Simon Dollé:
Offline A/B Testing for Recommender Systems. 198-206 - Ido Guy, Alexander Nus, Dan Pelleg, Idan Szpektor:
Care to Share?: Learning to Rank Personal Photos for Public Sharing. 207-215 - Ido Guy, Victor Makarenkov, Niva Hazon, Lior Rokach, Bracha Shapira:
Identifying Informational vs. Conversational Questions on Community Question Answering Archives. 216-224 - Ming He, Jiuling Zhang, Peng Yang, Kaisheng Yao:
Robust Transfer Learning for Cross-domain Collaborative Filtering Using Multiple Rating Patterns Approximation. 225-233 - Tom Hope, Dafna Shahaf:
Ballpark Crowdsourcing: The Wisdom of Rough Group Comparisons. 234-242 - Jun Hu, Ping Li:
Collaborative Filtering via Additive Ordinal Regression. 243-251 - Wenjian Hu, Krishna Kumar Singh, Fanyi Xiao, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee:
Who Will Share My Image?: Predicting the Content Diffusion Path in Online Social Networks. 252-260 - Ziniu Hu, Weiqing Liu, Jiang Bian, Xuanzhe Liu, Tie-Yan Liu:
Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. 261-269 - Xiao Huang, Qingquan Song, Jundong Li, Xia Hu:
Exploring Expert Cognition for Attributed Network Embedding. 270-278 - Kai Hui, Andrew Yates, Klaus Berberich, Gerard de Melo:
Co-PACRR: A Context-Aware Neural IR Model for Ad-hoc Retrieval. 279-287 - Zhengshen Jiang, Hongzhi Liu, Bin Fu, Zhonghai Wu, Tao Zhang:
Recommendation in Heterogeneous Information Networks Based on Generalized Random Walk Model and Bayesian Personalized Ranking. 288-296 - Saehan Jo, Jaemin Yoo, U Kang:
Fast and Scalable Distributed Loopy Belief Propagation on Real-World Graphs. 297-305 - Parisa Kaghazgaran, James Caverlee, Anna Cinzia Squicciarini:
Combating Crowdsourced Review Manipulators: A Neighborhood-Based Approach. 306-314 - Noriaki Kawamae:
Topic Chronicle Forest for Topic Discovery and Tracking. 315-323 - Jooyeon Kim, Behzad Tabibian, Alice Oh, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation. 324-332 - Srijan Kumar, Bryan Hooi, Disha Makhija, Mohit Kumar, Christos Faloutsos, V. S. Subrahmanian:
REV2: Fraudulent User Prediction in Rating Platforms. 333-341 - Katrien Laenen, Susana Zoghbi, Marie-Francine Moens:
Web Search of Fashion Items with Multimodal Querying. 342-350 - Preethi Lahoti, Kiran Garimella, Aristides Gionis:
Joint Non-negative Matrix Factorization for Learning Ideological Leaning on Twitter. 351-359 - Dan Li, Evangelos Kanoulas:
Bayesian Optimization for Optimizing Retrieval Systems. 360-368 - Jundong Li, Kewei Cheng, Liang Wu, Huan Liu:
Streaming Link Prediction on Dynamic Attributed Networks. 369-377 - Zhaoyang Liu, Yanyan Shen, Yanmin Zhu:
Inferring Dockless Shared Bike Distribution in New Cities. 378-386 - Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin:
Multi-Dimensional Network Embedding with Hierarchical Structure. 387-395 - Joel M. Mackenzie, J. Shane Culpepper, Roi Blanco, Matt Crane, Charles L. A. Clarke, Jimmy Lin:
Query Driven Algorithm Selection in Early Stage Retrieval. 396-404 - Alistair Moffat, Matthias Petri:
Index Compression Using Byte-Aligned ANS Coding and Two-Dimensional Contexts. 405-413 - Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty:
Fusing Diversity in Recommendations in Heterogeneous Information Networks. 414-422 - Wei Niu, James Caverlee, Haokai Lu:
Neural Personalized Ranking for Image Recommendation. 423-431 - Kien Pham, Aécio S. R. Santos, Juliana Freire:
Learning to Discover Domain-Specific Web Content. 432-440 - Yashoteja Prabhu, Anil Kag, Shilpa Gopinath, Kunal Dahiya, Shrutendra Harsola, Rahul Agrawal, Manik Varma:
Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation. 441-449 - Yuqiu Qian, Conghui Tan, Nikos Mamoulis, David W. Cheung:
DSANLS: Accelerating Distributed Nonnegative Matrix Factorization via Sketching. 450-458 - Jiezhong Qiu, Yuxiao Dong, Hao Ma, Jian Li, Kuansan Wang, Jie Tang:
Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec. 459-467 - Meng Qu, Jian Tang, Jiawei Han:
Curriculum Learning for Heterogeneous Star Network Embedding via Deep Reinforcement Learning. 468-476 - Suhas Ranganath, Ghazaleh Beigi, Huan Liu:
Leveraging Implicit Contribution Amounts to Facilitate Microfinancing Requests. 477-485 - Mojtaba Rezvani, Qing Wang, Weifa Liang:
FACH: Fast Algorithm for Detecting Cohesive Hierarchies of Communities in Large Networks. 486-494 - Farig Sadeque, Dongfang Xu, Steven Bethard:
Measuring the Latency of Depression Detection in Social Media. 495-503 - Ahmet Erdem Sariyüce, Ali Pinar:
Peeling Bipartite Networks for Dense Subgraph Discovery. 504-512 - Tobias Schnabel, Paul N. Bennett, Susan T. Dumais, Thorsten Joachims:
Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration. 513-521 - Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu:
CrossFire: Cross Media Joint Friend and Item Recommendations. 522-530 - Moumita Sinha, Vishwa Vinay, Harvineet Singh:
Modeling Time to Open of Emails with a Latent State for User Engagement Level. 531-539 - Stergios Stergiou, Dipen Rughwani, Kostas Tsioutsiouliklis:
Shortcutting Label Propagation for Distributed Connected Components. 540-546 - Ning Su, Jiyin He, Yiqun Liu, Min Zhang, Shaoping Ma:
User Intent, Behaviour, and Perceived Satisfaction in Product Search. 547-555 - Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, Ping Li:
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction. 556-564 - Jiaxi Tang, Ke Wang:
Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding. 565-573 - Md. Mehrab Tanjim, Muhammad Abdullah Adnan:
sSketch: A Scalable Sketching Technique for PCA in the Cloud. 574-582 - Yi Tay, Luu Anh Tuan, Siu Cheung Hui:
Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering. 583-591 - Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu:
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction. 592-600 - Sheng Wang, Zhifeng Bao, Shixun Huang, Rui Zhang:
A Unified Processing Paradigm for Interactive Location-based Web Search. 601-609 - Xuanhui Wang, Nadav Golbandi, Michael Bendersky, Donald Metzler, Marc Najork:
Position Bias Estimation for Unbiased Learning to Rank in Personal Search. 610-618 - Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin:
A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. 619-627 - Yu Ting Wen, Pei-Wen Yeh, Tzu-Hao Tsai, Wen-Chih Peng, Hong-Han Shuai:
Customer Purchase Behavior Prediction from Payment Datasets. 628-636 - Liang Wu, Huan Liu:
Tracing Fake-News Footprints: Characterizing Social Media Messages by How They Propagate. 637-645 - Zeqiu Wu, Xiang Ren, Frank F. Xu, Ji Li, Jiawei Han:
Indirect Supervision for Relation Extraction using Question-Answer Pairs. 646-654 - Xiaohui Xie, Yiqun Liu, Maarten de Rijke, Jiyin He, Min Zhang, Shaoping Ma:
Why People Search for Images using Web Search Engines. 655-663 - Longqi Yang, Eugene Bagdasaryan, Joshua Gruenstein, Cheng-Kang Hsieh, Deborah Estrin:
OpenRec: A Modular Framework for Extensible and Adaptable Recommendation Algorithms. 664-672 - Zijun Yao, Yifan Sun, Weicong Ding, Nikhil Rao, Hui Xiong:
Dynamic Word Embeddings for Evolving Semantic Discovery. 673-681 - Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen:
Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. 682-690 - Qian Yu, Wai Lam:
Review-Aware Answer Prediction for Product-Related Questions Incorporating Aspects. 691-699 - Hamed Zamani, Bhaskar Mitra, Xia Song, Nick Craswell, Saurabh Tiwary:
Neural Ranking Models with Multiple Document Fields. 700-708 - Yan Zhang, Hongzhi Yin, Zi Huang, Xingzhong Du, Guowu Yang, Defu Lian:
Discrete Deep Learning for Fast Content-Aware Recommendation. 717-726 - Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin:
Micro Behaviors: A New Perspective in E-commerce Recommender Systems. 727-735 - Xian Zhou, Yanyan Shen, Yanmin Zhu, Linpeng Huang:
Predicting Multi-step Citywide Passenger Demands Using Attention-based Neural Networks. 736-744
Doctoral Presentations
- John Calvo Martinez:
Event Mining over Distributed Text Streams. 745-746 - Chen Chen:
Connectivity in Complex Networks: Measures, Inference and Optimization. 747-748 - Maram Hasanain:
Automatic Ranking of Information Retrieval Systems. 749-750 - Sandeepa Kannangara:
Mining Twitter for Fine-Grained Political Opinion Polarity Classification, Ideology Detection and Sarcasm Detection. 751-752 - Aastha Nigam:
Beyond Who and What: Data Driven Approaches for User Characterization. 753-754 - Jiezhong Qiu:
Engagement and Incentives in Online Community: Observational Data, Prediction Models, and Field Experiments. 755-756 - Zijun Yao:
Exploiting Human Mobility Patterns for Point-of-Interest Recommendation. 757-758
Demonstrations
- Sutanay Choudhury, Sumit Purohit, Peng Lin, Yinghui Wu, Lawrence B. Holder, Khushbu Agarwal:
Percolator: Scalable Pattern Discovery in Dynamic Graphs. 759-762 - Paul A. Crook, Alex Marin, Vipul Agarwal, Samantha Anderson, Ohyoung Jang, Aliasgar Lanewala, Karthik Tangirala, Imed Zitouni:
Conversational Semantic Search: Looking Beyond Web Search, Q&A and Dialog Systems. 763-766 - Mingzhao Li, Zhifeng Bao, Farhana Murtaza Choudhury, Timos Sellis:
Supporting Large-scale Geographical Visualization in a Multi-granularity Way. 767-770 - Naama Tepper, Anat Hashavit, Maya Barnea, Inbal Ronen, Lior Leiba:
Collabot: Personalized Group Chat Summarization. 771-774
Tutorials
- Çigdem Aslay, Laks V. S. Lakshmanan, Wei Lu, Xiaokui Xiao:
Influence Maximization in Online Social Networks. 775-776 - Grace Hui Yang, Sicong Zhang:
Differential Privacy for Information Retrieval. 777-778 - Tom Kenter, Alexey Borisov, Christophe Van Gysel, Mostafa Dehghani, Maarten de Rijke, Bhaskar Mitra:
Neural Networks for Information Retrieval. 779-780 - Mounia Lalmas, Liangjie Hong:
Tutorial on Metrics of User Engagement: Applications to News, Search and E-Commerce. 781-782 - Liangyue Li, Hanghang Tong:
Network Science of Teams: Characterization, Prediction, and Optimization. 783-784 - Alexandra Olteanu, Emre Kiciman, Carlos Castillo:
A Critical Review of Online Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries. 785-786 - Konstantinos Pelechrinis, Evangelos E. Papalexakis:
Athlytics: Winning in Sports with Data. 787-788 - Jay Pujara, Sameer Singh:
Mining Knowledge Graphs From Text. 789-790
Workshops
- Yu-Ru Lin, Carlos Castillo, Jie Yin:
The 5th International Workshop on Social Web for Disaster Management(SWDM'18): Collective Sensing, Trust, and Resilience in Global Crises. 791-792 - Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su:
First Workshop on Knowledge Base Construction, Mining and Reasoning. 793-794 - Shobeir Fakhraei, Yanen Li, Yizhou Sun, Tim Weninger:
HeteroNAM: International Workshop on Heterogeneous Networks Analysis and Mining. 795-796 - Rishabh Mehrotra, Ahmed Hassan Awadallah, Emine Yilmaz:
LearnIR: WSDM 2018 Workshop on Learning from User Interactions. 797-798 - Srijan Kumar, Meng Jiang, Taeho Jung, Roger Jie Luo, Jure Leskovec:
MIS2: Misinformation and Misbehavior Mining on the Web. 799-800 - Mihajlo Grbovic, Thanasis Noulas:
Workshop on Two-sided Marketplace Optimization: Search, Pricing, Matching & Growth. 801-802 - Jiejun Xu, Hanghang Tong, Tsai-Ching Lu, Jingrui He, Nadya Bliss:
GTA3 2018: Workshop on Graph Techniques for Adversarial Activity Analytics. 803 - Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen:
IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. 804-805
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