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Tue, 15 Jul 2014 22:20:34 +0200
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Alan Said <[log in to unmask]>
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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: [log in to unmask]
t: @alansaid
w: www.alansaid.com

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