8th ACM INTERNATIONAL CONFERENCE ON RECOMMENDER SYSTEMS (RecSys 2014) Oct 6-10, 2014, Foster City (Silicon Valley), CA, USA http://recsys.acm.org/recsys14 ===================================================================== REGISTRATION ===================================================================== Deadlines: EARLY: on or before Sept. 5 (PDT) Late : on or after Sept. 6 (PDT) On-site: on or after Oct. 4 (PDT) http://recsys.acm.org/recsys14/registration/ ===================================================================== TECHNICAL PROGRAM ===================================================================== The program includes 35 long research papers (oral presentation), 20 short research papers (poster presentation) and three keynotes. In addition, the technical program features sessions with industry speakers and panelists, 9 demos and 20 posters. Program http://recsys.acm.org/recsys14/program/ Poster/Demo Session http://recsys.acm.org/recsys14/posters-demos/ Keynotes - Neil Hunt - Netflix - Jeff Dean - Google Inc. - Hector Garcia-Molina - Stanford Univ. http://recsys.acm.org/recsys14/keynotes/ ===================================================================== WORKSHOPS AND DOCTORAL SYMPOSIUM ===================================================================== Nine workshops will be organized in conjunction with RecSys 2014, including the RecSys Challenge. Additionally, a doctoral symposium will be held: - RecSys Challenge 2014: User Engagement as Evaluation - REDD: Recommender Systems Evaluation: Dimensions and Design - RecSysTV: Recommendation Systems for Television and Movies - LSRS: Large Scale Recommender Systems: Research and Best Practice - RecSysAB: Controlled Experimentation in Recommendations, Ranking & Response Prediction - CrowdRec: Crowdsourcing and Human Computation for Recommender Systems - IntRS: Interfaces and Human Decision Making for Recommender Systems - CBRecSys: New Trends in Content-based Recommender Systems - RSWeb: Recommender Systems and the Social Web Workshops http://recsys.acm.org/recsys14/workshops/ Doctoral Symposium http://recsys.acm.org/recsys14/doctoral-symposium/ ===================================================================== TUTORIALS ===================================================================== Four tutorials will be offered on the first day of the conference: - Xavier Amatriain: The Recommender Problem Revisited - Huiji Gao, Jiliang Tang, and Huan Liu: Personalized Location Recommendation on Location-based Social Networks - Iván Cantador and Paolo Cremonesi: Cross-Domain Recommender Systems - Ido Guy and Werner Geyer: Social Recommender Systems http://recsys.acm.org/recsys14/tutorials/ ===================================================================== SOCIAL PROGRAM ===================================================================== A reception at the Computer History Museum and a banquet at the conference hotel are being planned. Information about attractions in the neighborhood will be provided.