8th ACM INTERNATIONAL CONFERENCE ON RECOMMENDER SYSTEMS (RecSys 2014) Oct 6 + 10, 2014, Foster City (Silicon Valley), CA, USA http://recsys.acm.org/recsys14 (Workshop and tutorial days only) ===================================================================== REGISTRATION ===================================================================== Final deadline: Sept. 30 (PDT), at http://recsys.acm.org/recsys14/registration/ No onsite registration will be available. The main conference is already sold out, but registration for one or both workshop/tutorial days is still possible until capacity is met. Registrants can also still buy tickets for the reception at the Computer History Museum and the conference banquet. ===================================================================== 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.