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Notice

AISB event Bulletin Item

CALL FOR PAPERS: Fifth ACM Conference on "Recommender Systems", Oct 2011, Chicago (USA)

http://recsys.acm.org/2011/

RecSys 2011: Fifth ACM Conference on Recommender Systems, Chicago, IL, USA

************************************************************

We are pleased to invite you once again to participate in the premier
annual event on research and applications of recommendation
technologies, the Fifth ACM Conference on Recommender Systems. The
previous conferences have been distinguished by a strong level of
interaction between practitioners and researchers in the sharing of
ideas, problems and solutions, and the 2011 conference will continue
in this tradition. The fully-refereed proceedings will be published by
the ACM and, like past RecSys proceedings, are expected to be widely
read and cited.

************************************************************
TOPICS OF INTEREST
************************************************************

We construe recommender systems broadly, including applications
ranging from e-commerce to social networking, platforms from web to
mobile and beyond, and a wide variety of technologies ranging from
collaborative filtering to case-based reasoning. Therefore, topics of
interest for RecSys 2011 include (but are not limited to):

* Case studies of recommender system implementations
* Computational advertising
* Conversational recommender systems
* Context-aware and multidimensional recommender systems
* Evaluation of recommender systems
* Group recommenders
* Impact of recommenders in practice
* Innovative recommender applications
* Machine learning and recommender systems
* Novel paradigms of recommender systems
* Personalization
* Preference elicitation
* Recommendation algorithms
* Recommendation in social networks
* Recommender system interfaces
* Scalability of recommendation techniques
* Security, privacy, trust, and robustness
* Semantic web technologies for recommender systems
* Theoretical aspects of recommender systems
* User modeling and recommender systems
* User studies

************************************************************
IMPORTANT DATES
************************************************************

Workshop Proposals: March 21
Deadline for abstracts (mandatory for long/short papers): May 9, 11.59 pm (PST)
Paper submission deadline: May 16, 11.59 pm (PST)
Paper Acceptance Notifications: July 15
Workshop paper submission deadline: July, 25
Doctoral Symposium Applications: to be announced
Camera-ready copy: August 7
Workshop papers acceptance notification: August, 19

************************************************************
PAPER FORMAT & SUBMISSION
************************************************************

All submissions and reviews will be handled electronically in PDF
format. RecSys 2011 submissions should be prepared according to the
standard ACM SIG proceedings format. For your convenience, we provide
paper templates in Microsoft Word and LaTeX on the conference website.
 More details on the submission procedure will be available soon at
the conference website http://recsys.acm.org/2011/

There are two paper submission categories:

- LONG PAPER submissions should report on substantial contributions of
lasting value. The maximum length is 8 pages in the standard ACM SIG
proceedings format.

- SHORT PAPER submissions typically discuss exciting new work that is
not yet mature enough for a long paper. Each accepted short paper will
be presented in a poster/demo session. The presentation may include a
system demonstration. The maximum length is 4 pages in the standard
ACM SIG proceedings format.

************************************************************
ORGANIZING COMMITTEE
************************************************************

Bamshad Mobasher, General Chair,
DePaul University, USA

Robin Burke, General Chair,
DePaul University, USA

Dietmar Jannach, Program Chair,
TU Dortmund, Germany

Gediminas Adomavicius, Program Chair,
University of Minnesota, USA

-- 
Zeno Gantner
Machine Learning Lab
University of Hildesheim
Tel. +49 5121 / 883 856
http://www.ismll.uni-hildesheim.de/