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From Grant Ingersoll <gsing...@apache.org>
Subject Fwd: [SIG-IRList] [CfP] Recommender-based Industrial Applications Workshop @ Recsys '09
Date Fri, 10 Jul 2009 11:29:34 GMT
FYI

Begin forwarded message:

> From: XAVIER AMATRIAIN RUBIO <xar@tid.es>
> Date: July 8, 2009 11:34:06 AM EDT
> To: "IRList@lists.shef.ac.uk" <IRList@lists.shef.ac.uk>
> Subject: [SIG-IRList] [CfP] Recommender-based Industrial  
> Applications Workshop @ Recsys '09
>
> CALL FOR PAPERS
> RECOMMENDER-BASED INDUSTRIAL APPLICATIONS Workshop
> in conjunction with the 3rd ACM Conference on
> Recommender Systems (New York City, October 22-25, 2009).
> http://corp.strands.com/recsys/index.html
> Recommender systems help users deal with large amounts of  
> information by
> assisting them in their decision-making processes. Recommender systems
> have been applied very successfully in a variety of domains, and one  
> of
> their most exciting characteristics is that they combine interest from
> industry while posing very interesting research challenges, having
> significant impact on end user experience, and on business.
> DATES
>     * August 3, 2009: Submission of papers
>     * August 17, 2009: Notification of acceptance
>     * October 25, 2009: Worskshop held
> MOTIVATION AND TOPICS
> Recommender-based industrial applications have hit the mainstream:  
> they
> are being used today by millions of users in a variety of domains  
> (e.g.,
> film, music, book purchases, travel, advertising, etc.), having
> significant impact end users and contributing to the generation of
> millions of dollars of revenue in some industries.
> In addition, the explosion of social network websites, on-line user-
> generated content platforms, and tremendous growth in computational  
> power
> of mobile devices are generating incredibly large amounts of user  
> data,
> and an increasing desire of users to find what best matches their
> personal interests. This is creating new technical challenges as  
> well as
> new business opportunities. However, in spite of significant  
> progress in
> the research community, there are still important gaps in making  
> accurate
> and timely recommendations in industrial applications.
> This workshop aims at bringing the gap between academic researchers  
> and
> industry practitioners on the area of Recommender Systems. We are
> interested both in research work that faces real industry problems,  
> and
> in industry cases that create research challenges.
> We aim to discuss problems the industry is facing in real-world
> applications when applying recommendation and personalization  
> techniques.
> The goal is to bring together top-level researchers from academia and
> recommendation practitioners. Ideally the workshop should serve to
> establish new collaborations and projects involving academic  
> researchers
> and companies.
> Topics of interest include industrial applications and research
> challenges related but not limited to::
>     * case studies of recommender system implementations and  
> deployments
>     * personalization vs. content-based vs. collaborative-based
> applications
>     * evaluation and user studies of recommender systems
>     * recommendations in the long tail
>     * user preferences and recommender systems
>     * social and cultural impact of recommender systems
>     * security and privacy in recommender systems
>     * sparsity and lack of data in recommender systems
>     * context-aware and ubiquitousness in recommender systems
>     * user interfaces and usability issues in recommender systems
>     * scalability in large recommender systems
>     * new business models related to recommendation and  
> personalization
>     * search vs. recommendation
> Types of papers & Workshop format
> We welcome research papers dealing with industrial applications,  
> business
> focused papers discussing the challenges of recommenders techniques,
> opportunities, and open issues in business applications, and position
> papers in any of the above topics. Short papers may be up to 4  
> pages, and
> long papers up to 8 pages long.
> We welcome papers from practitioners and researchers in any field of
> interest to recommender systems (psychology, sociology, business, and
> relevant technical areas).
> The workshop will consist of short presentations possibly combined  
> with a
> poster session. The goal of the format is to use the meeting time for
> discussions rather than for conference-style presentations. Please  
> note
> that attendees must register for the workshop, but attendance is  
> open to
> everyone (no paper necessary to attend the workshop). Please note that
> the early registration deadline for the workshop is August 21, 2009  
> (late
> and on-site registration will also be available, but space will be
> limited). Registration details can be found at the RecSys website.
>
> Submissions
> All submissions will be peer-reviewed by at least 3 members of the
> program committee. Accepted papers will be published online on the
> workshop homepage. The best papers will be considered for a special  
> issue
> of a recognized journal. Papers should be formatted according to the
> style guide of RecSys'09. Papers should be submitted in PDF format
> through an email addressed to recsys [at] strands.com
> Workshop Chairs
>     * Dr. Alejandro Jaimes, Telefonica Research
>     * Dr. Marc Torrens, Strands
> Please address questions to recsys [at] strands.com.
> ************************************************
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--------------------------
Grant Ingersoll
http://www.lucidimagination.com/

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