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    SRS 2012 - 3rd International Workshop on Social Recommender Systems

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    Website http://umap2012.polymtl.ca/en/ | Want to Edit it Edit Freely

    Category SRS 2012

    Deadline: May 13, 2012 | Date: July 16, 2012-July 20, 2012

    Venue/Country: Montreal, Canada

    Updated: 2012-03-16 18:23:42 (GMT+9)

    Call For Papers - CFP

    While the abundance and popularity of social media sites allow people to leave and share their own digital footprints, they overwhelm the users with mountains of information and hence pose a great challenge for users to best leverage such information. Social Recommender Systems (SRSs) aim to alleviate information overload over social media users by presenting the most attractive and relevant content, often using personalization techniques adapted for the specific user.

    This workshop aims at bringing together researchers and practitioners around the emerging topics of recommender systems within social media in order to: (1) share research and techniques used to develop effective social media recommenders, from algorithms, through user interfaces, to evaluation (2) identify next key challenges in the area, and (3) identify new cross-topic collaboration opportunities. To take advantage of the UMAP setting, we are in particularly encouraging two research sub-topics of the area: 1) Studying new techniques for user modeling to cope with recommendations in the social media 2) Studying different forms of people recommendation, including recommending people to connect with in social network sites, people to follow in real-time web applications, strangers who might be of interest, or people who may be interested to join online communities

    Topics of interests include, but are not limited to:

    Social recommender technologies and applications

    User modeling techniques and their impact on social recommender systems

    Recommendations for individuals and communities and their applications

    Social recommender systems in the enterprise

    Diversity and novelty in social recommender systems

    User interfaces in social recommender systems, especially in recommending people and communities (SRS)

    Transparency and explanations in SRS

    Adaption and personalization for SRS

    User feedback in SRS

    Trust and reputation in SRS

    Social awareness and visualization

    Evaluation

    Evaluation methods and evaluations of SRS

    User studies

    Special focus area: people recommendation

    Recommending people to connect with or follow in social media sites

    Recommending people for communities

    User modeling for people recommendation


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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