[Infovis] ACM RecSys 2014 (Silicon Valley): early registration deadline coming up

[Alfred Kobsa]

8th ACM INTERNATIONAL CONFERENCE ON RECOMMENDER SYSTEMS (RecSys 2014)

                            Oct 6-10, 2014, Foster City (Silicon Valley), CA, USA
 						http://recsys.acm.org/recsys14

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REGISTRATION
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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/

 
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TECHNICAL PROGRAM
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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/


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WORKSHOPS AND DOCTORAL SYMPOSIUM
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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/


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TUTORIALS
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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/


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SOCIAL PROGRAM
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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.