<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div dir="ltr"><div><br></div><div><br></div><div>8th ACM INTERNATIONAL CONFERENCE ON RECOMMENDER SYSTEMS (RecSys 2014)</div><div><br></div><div> Oct 6-10, 2014, Foster City (Silicon Valley), CA, USA</div><div> <span class="Apple-tab-span" style="white-space:pre"> </span><a href="http://recsys.acm.org/recsys14/registration/">http://recsys.acm.org/recsys14</a></div><div><br></div><div>=====================================================================</div>
<div>REGISTRATION</div><div>=====================================================================</div><div> </div><div>Deadlines:</div><div> </div><div>EARLY: on or before Sept. 5 (PDT)</div><div>Late : on or after Sept. 6 (PDT)</div>
<div>On-site: on or after Oct. 4 (PDT)</div><div><a href="http://recsys.acm.org/recsys14/registration/">http://recsys.acm.org/recsys14/registration/</a></div><div><br></div><div> </div><div>=====================================================================</div>
<div>TECHNICAL PROGRAM</div><div>=====================================================================</div><div>The program includes 35 long research papers (oral presentation), 20 short research papers </div><div>(poster presentation) and three keynotes. In addition, the technical program features sessions</div><div>with industry speakers and panelists, 9 demos and 20 posters. </div>
<div><br></div><div>Program</div><div><a href="http://recsys.acm.org/recsys14/program/">http://recsys.acm.org/recsys14/program/</a></div><div><br></div><div>Poster/Demo Session</div><div><a href="http://recsys.acm.org/recsys14/posters-demos/">http://recsys.acm.org/recsys14/posters-demos/</a></div>
<div><br></div><div>Keynotes</div><div>- Neil Hunt - Netflix</div><div>- Jeff Dean - Google Inc.</div><div>- Hector Garcia-Molina - Stanford Univ.</div><div><br></div><div><a href="http://recsys.acm.org/recsys14/keynotes/">http://recsys.acm.org/recsys14/keynotes/</a></div>
<div><br></div><div><br></div><div>=====================================================================</div><div>WORKSHOPS AND DOCTORAL SYMPOSIUM</div><div>=====================================================================</div><div><br></div>
<div>Nine workshops will be organized in conjunction with RecSys 2014, including the RecSys </div><div>Challenge. Additionally, a doctoral symposium will be held:</div><div><br></div><div>- RecSys Challenge 2014: User Engagement as Evaluation</div><div>- REDD: Recommender Systems Evaluation: Dimensions and Design</div>
<div>- RecSysTV: Recommendation Systems for Television and Movies</div><div>- LSRS: Large Scale Recommender Systems: Research and Best Practice</div><div>- RecSysAB: Controlled Experimentation in Recommendations, Ranking & Response Prediction</div>
<div>- CrowdRec: Crowdsourcing and Human Computation for Recommender Systems</div><div>- IntRS: Interfaces and Human Decision Making for Recommender Systems</div><div>- CBRecSys: New Trends in Content-based Recommender Systems</div>
<div>- RSWeb: Recommender Systems and the Social Web</div><div><br></div><div>Workshops</div><div><a href="http://recsys.acm.org/recsys14/workshops/">http://recsys.acm.org/recsys14/workshops/</a></div><div><br></div><div>Doctoral Symposium</div><div><a href="http://recsys.acm.org/recsys14/doctoral-symposium/">http://recsys.acm.org/recsys14/doctoral-symposium/</a></div><div><br></div><div><br></div><div>=====================================================================</div>
<div>TUTORIALS</div><div>=====================================================================</div><div><br></div><div>Four tutorials will be offered on the first day of the conference:</div><div><br></div><div>- Xavier Amatriain: The Recommender Problem Revisited</div>
<div>- Huiji Gao, Jiliang Tang, and Huan Liu: Personalized Location Recommendation on Location-based Social Networks</div><div>- Iván Cantador and Paolo Cremonesi: Cross-Domain Recommender Systems </div><div>- Ido Guy and Werner Geyer: Social Recommender Systems</div>
<div><br></div><div><a href="http://recsys.acm.org/recsys14/tutorials/">http://recsys.acm.org/recsys14/tutorials/</a></div><div><br></div><div><div><br></div><div>=====================================================================</div><div>SOCIAL PROGRAM</div><div>=====================================================================</div></div><div><br></div><div dir="ltr">A reception at the Computer History Museum and a banquet at the conference hotel are being </div><div dir="ltr">planned. Information about attractions in the neighborhood will be provided.</div><div dir="ltr"><br></div></div></body></html>