8th ACM International Conference on Recommender Systems (RecSys 2014), Oct 6-10, 2014, Foster City (Silicon Valley), CA, USA
===================================================================== Registration ===================================================================== Deadlines: EARLY: on or before Sept. 5 Late : on or after Sept. 6 On-site: on or after Oct. 4 http://recsys.acm.org/recsys14/registration/ ===================================================================== Accepted Papers and Technical Program ===================================================================== The program includes 35 long research papers (oral presentation) and 20 short research papers (poster presentation). In addition, the program includes industry sessions featuring presentations from industry experts, a number of demos and posters, and tutorials by leading researchers and practitioners. Papers http://recsys.acm.org/recsys14/accepted-papers/ Demos http://recsys.acm.org/recsys14/accepted-demos/ ===================================================================== Keynotes ===================================================================== - Three keynotes will be given at RecSys 2014: - Neil Hunt - Netflix - Jeff Dean - Google Inc. - Hector Garcia-Molina - Stanford Univ. http://recsys.acm.org/recsys14/keynotes/ ===================================================================== Workshops ===================================================================== Seven workshops will be organized in conjunction with RecSys 2014, including the RecSys Challenge: - 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 - 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 http://recsys.acm.org/recsys14/workshops/ ===================================================================== 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/ -- -- Alan Said Multimedia Computing Group Delft University of Technology e: alans...@acm.org t: @alansaid w: www.alansaid.com