[Our apologies for cross posting] ACM International Conference on Recommender Systems (RecSys) 2013 Oct 12-16, 2013, Hong Kong, China ====================================================================== Registration ====================================================================== Please register as soon as possible (https://www.regonline.com/Register/Checkin.aspx?EventID=1263861) to ensure that you join this rich experience in Recommendation System area's biggest event! EARLY: ON OR BEFORE SEPT 7 LATE : ON OR AFTER SEPT 8 ON-SITE: ON OR AFTER OCT 5 http://recsys.acm.org/recsys13/registration/ ====================================================================== Program ====================================================================== All events have lunch breaks at 12.30h-14.00h and coffee breaks at 10.15h-10-45h and 15.45h-16.15h, respectively. http://recsys.acm.org/recsys13/program/ =========== Sat, Oct 12 =========== - Doctoral Symposium (Room LT-11, 8.30h 18.00h) - Workshop Decisions: Human Decision Making in Recommender Systems (Room LT-15, 8.30h 18.00h) - Workshop RepSys: Reproducibility and Replication in Recommender Systems Evaluation (Room LT-16, 8.30h 18.00h) - Workshop CrowdRec: Crowdsourcing and Human Computation for Recommender Systems (Room LT-10, 14.00h 18.00h) - Tutorial Mining Social Networks for Recommendation (Room LT-13, 8.30h 10.15h) - Tutorial Learning to Rank (Room LT-13, 14.00h 15.45h) =========== Sun, Oct 13 =========== - Workshop RSWeb: Recommender Systems and the Social Web (Room LT-7, 8.30h 18.00h) - Workshop NRS: News Recommender Systems Workshop and Challenge (Room LT-15, 8.30h 12.30h) - Workshop SeRSy: Recommender Systems meet Big Data and Semantic Technologies (Room LT-16, 14.00h 18.00h) - Workshop LargeScale: Large Scale Recommendation Systems: Research and Best Practice (Room LT-14, 8.30h 18.00h) - Workshop Workshop on the RecSys Challenge 2013 (Room LT-17, 8.30h 18.00h) - Tutorial Beyond Friendship:ญ The Art, Science and Applications of Recommending People to People in Social Networks (Room LT-13, 8.30h 10.15h) - Tutorial Preference Handling (Room LT-13, 14.00h 15.45h) =========== Mon, Oct 14 =========== 08:30 10:15 OPENING, KEYNOTE: INFORMATION EXTRACTION, SENTIMENT ANALYSIS, AND RECOMMENDATIONS - Professor Oren Etzioni (University of Washington, Seattle, WA, USA) 10:15 10:45 COFFEE BREAK 10:45 12:30 SESSION 1: CONTEXT-AWARE - Context-Aware Review Helpfulness Rating Prediction by Jiliang Tang - Query-Driven Context Aware Recommendation by Negar Hariri; Bamshad Mobasher; Robin Burke - Location-aware Music Recommendation Using Auto-Tagging and Hybrid Matching by Marius Kaminskas; Francesco Ricci; Markus Schedl - Spatial Topic Modeling in Online Social Media for Location Recommendation by Bo Hu; Martin Ester 12:30 14:00 LUNCH 14:00 15:45 SESSION 2: METHODS, ALGORITHMS, AND THEORIES - Orthogonal Query Recommendation by Hossein Vahabi; Margareta Ackerman; David Loker; Ricardo Baeza-Yates; Alejandro Lopez-Ortiz - Understanding and Improving Relational Matrix Factorization in Recommender Systems by Li Pu; Boi Faltings - Retargeted Matrix Factorization for Collaborative Filtering by Oluwasanmi Koyejo; Sreangsu Acharyya; Joydeep Ghosh - Trading-off Among Accuracy; Similarity; Diversity; and Long-tail: A Graph-based Recommendation Approach by Lei Shi - Nonlinear Latent Factorization by Embedding Multiple User Interests by Jason Weston; Ron Weiss; Hector Yee 15:45 16:15 COFFEE BREAK 16:15 18:00 SESSION 3: SOCIAL MEDIA AND RECOMMENDER SYSTEMS - Diffusion-aware Personalized Social Update Recommendation by Ye Pan; Kailong Chen; Yong Yu - Recommending Branded Products from Social Media by Yongzheng Zhang; Marco Pennacchiotti - Top-N Recommendations from Implicit Feedback leveraging Linked Open Data by Vito Claudio Ostuni; Tommaso Di Noia; Eugenio Di Sciascio; Roberto Mirizzi - Exploring Temporal Effects for Location Recommendation on Location-Based Social Networks by Huiji Gao; Jiliang Tang; Xia Hu; Huan Liu - The Curated Web: A Recommendation Challenge by Zurina Saaya; Rachael Rafter; Markus Schaal; Barry Smyth 18:00 21:00 POSTER AND DEMO RECEPTION - Creative Media Centre, City University of Hong Kong =========== Tue, Oct 15 =========== 08:30 10:15 SESSION 4: MEDIA RECOMMENDATION - Personalized News Recommendation with Context Trees by Florent Garcin; Christos Dimitrakakis; Boi Faltings - What to Read Next?: Making Personalized Book Recommendations for K-12 Users by Maria Pera; Yiu-Kai Ng - Movie Recommender System for Profit Maximization by Amos Azaria; Avinatan Hassidim; Sarit Kraus; Adi Eshkol; Ofer Weintraub; Irit Netanely - Xbox Movies Recommendations: Variational Bayes Matrix Factorization with Embedded Feature Selection by Noam Koenigstein; Ulrich Paquet - Personalized Next-song Recommendation in Online Karaokes by Xiang Wu; Qi Liu; Enhong Chen; Jingsong Lv; Can Cao; Guoping Hu 10:15 10:45 COFFEE BREAK 10:45 12:30 KEYNOTE: RECOMMENDATION IN ONLINE ADVERTISING - Dr. Dou Shen (Director of Advertising, Baidu, China) 12:30 14:00 LUNCH 14:00 15:45 SESSION 5: USER EXPERIENCE - Topic Diversity in Tag Recommendation by Fabiano Bel้m Rodrygo Santos; Marcos Goncalves; Jussara Almeida - Rating support interfaces to improve user experience and recommender accuracy by Tien T. Nguyen; Daniel Kluver; Ting-Yu Wang; Pik-Mai Hui; Michael Ekstrand; Martijn C. Willemsen; John Riedl - ReComment: Towards Critiquing-based Recommendation with Speech Interaction by Peter Grasch; Alexander Felfernig; Florian Reinfrank - Hidden Factors and Hidden Topics: Understanding Rating Dimensions with Review Text by Julian McAuley; Jure Leskovec - Improving Augmented Reality Using Recommender Systems by Zhuo Zhang; Shang Shang; Sanjeev Kulkarni; Pan Hui 15:45 16:15 COFFEE BREAK 16:15 18:00 SESSION 6: BEYOND RATINGS - Exploiting non-content taste attributes through hybrid recommendation method by Fernando Mourใo Leonardo Rocha; Joseph Konstan; Wagner Meira Jr. - Hybrid Event Recommendation using Linked Data and User Diversity by Houda Khrouf; Raphael Troncy - Pairwise Feedback in Recommendation: Experiments with Community Recommendation on LinkedIn by Amit Sharma; Baoshi Yan - Which app will you use next? Collaborative Filtering with Interactional Context by Nagarajan Natarajan; Donghyuk Shin; Inderjit Dhillon - A Food Recommender for Patients in a Care Facility by Toon De Pessemier; Simon Dooms; Luc Martens 18:00 21:00 BANQUET =========== Wed, Oct 16 =========== 08:30-10:15 INDUSTRY SESSION 10:15 10:45 COFFEE BREAK 10:45 12:30 KEYNOTE: RECOMMENDATION FOR HAPPINESS - Yan, Mu (Co-founder & Chief Happiness Officer, Baihe.com, China) 12:30 14:00 LUNCH 14:00 15:45 SESSION 7: METHODS, ALGORITHMS, AND THEORIES - Rating-Prediction and Ranking by Harald Steck - You Are What You Consume: A Bayesian Method For Personalized Recommendations by Konstantinos Babas; Georgios Chalkiadakis; Evangelos Tripolitakis - To Personalize or Not: A Risk Management Perspective by Weinan Zhang; Jun Wang; Bowei Chen; Xiaoxue Zhao - Online Multi-Task Collaborative Filtering for On-the-Fly Recommender Systems by Jialei Wang; Steven C.H. Hoi; Peilin Zhao - Learning to Rank Recommendations with the k-Order Statistic Loss by Jason Weston; Hector Yee; Ron Weiss 15:45 16:15 COFFEE BREAK 16:15 18:00 SESSION 8: SCALABILITY - A Fast Parallel SGD for Matrix Factorization in Shared Memory Systems by Yong Zhuang; Wei-Sheng Chin; Yu-Chin Juan; Chih-Jen Lin - DrunkardMob: Billions of Random Walks on Just a PC by Aapo Kyrola - Using Set Cover to Optimize Recommendation Systems in E-Commerce by Mikael Hammar; Robin Karlsson; Bengt Nilsson - Efficient Top-N Recommendation for Very Large Scale Binary Rated Datasets by Fabio Aiolli - Distributed Matrix Factorization with MapReduce using a series of Broadcast-Joins by Sebastian Schelter; Christoph Boden; Martin Schenck; Alexander Alexandrov; Volker Markl ############################ To unsubscribe from the MM-INTEREST list: write to: mailto:[log in to unmask] or click the following link: http://listserv.acm.org/scripts/wa-ACMLPX.exe?SUBED1=MM-INTEREST&A=1