[DL] Final CFP: ACM International Conference on Recommender Systems

[Alan Said]

[Please forward to interested colleagues]

FINAL CALL FOR PAPERS

ACM International Conference on Recommender Systems (RecSys) 2012
September 9-13, 2012, Dublin, Ireland
http://recsys.acm.org/2012/

Abstract Submission Deadline: April 2nd, 2012
Paper Submission Deadline: April 9th, 2012

=============================================================================================

We are pleased to invite you to participate in the premier annual event on research and
applications of recommendation technologies, the Sixth ACM Conference on Recommender
Systems (RecSys 2012). The conference will be held on September 9-13 in Dublin, Ireland.
Previous conferences have been distinguished by a strong level of interaction between
researchers and practitioners in the sharing of ideas, problems and solutions, and the 2012
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. Topics of
interest for RecSys 2012 include (but are not limited to):

- Algorithm scalability
- Case studies of real-world implementations
- Computational advertising
- Conversational recommender systems
- Context-aware and multidimensional models
- Evaluation metrics and studies
- Explanations and evidence
- Group recommenders
- Impact studies
- Innovative/New applications
- Machine learning for recommendation
- Novel paradigms
- Personalization
- Preference elicitation
- Recommendation algorithms
- Social recommenders
- User interfaces
- Security, privacy, trust, and reputation
- Semantic web technologies for recommendation
- Theoretical foundations
- User modelling
- User studies

Paper Format and Submission
===========================

All submissions and reviews will be handled electronically in PDF format. RecSys 2012
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 are available at http://recsys2012.ucd.ie/submission.html.

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. Each accepted long
paper will be presented in a plenary session as part of the main conference program. We
expect the review process to be highly selective: in 2011, the acceptance rate for full
papers was 20%.

Short paper submissions typically discuss exciting new work that is not yet mature enough
for a long paper. The maximum length is 4 pages in the standard ACM SIG proceedings format.
Each accepted short paper will be presented in a poster session. The presentation may
include a system demonstration.
Note: Please note that rejected long paper submissions will not be automatically considered
as short papers

Important Dates
===============

Abstract Submission: April 2, 2012
Paper Submission: April 9, 2012
Notification of Acceptance: June 1, 2012
Camera-Ready Papers Due: June 22, 2012
Conference Dates: September 9-13, 2012

Questions?
==========

More information at: http://recsys.acm.org/2012
Twitter: @recsys2012

Program Co-chairs (program2012 at recsys.acm.org<mailto:program2012 at recsys.acm.org>):
Ido Guy, IBM Research-Haifa, Israel
Sarabjot Singh Anand, University of Warwick, England

General Co-chairs (recsys2012 at acm.org<mailto:recsys2012 at acm.org>)
Pádraig Cunningham, University College Dublin, Ireland
Neil Hurley, University College Dublin, Ireland


--
***************************************
M.Sc.(Eng.) Alan Said
Competence Center Information Retrieval & Machine Learning
Technische Universität Berlin DAI-Labor Sekr. TEL 14 Ernst-Reuter-Platz 7
10587 Berlin / Germany
Phone: 0049 - 30 - 314 74072
Fax: 0049 - 30 - 314 74003
E-mail: alan.said at dai-labor.de<mailto:alan.said at dai-labor.de>
http://www.dai-labor.de
***************************************

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