• Workshop on Social Recommender Systems
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• Submission Types & Procedure
• Organization Committee & Contact Us
• Accepted Papers
• Workshop Program
• History of This Workshop

Workshop on Social Recommender Systems

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Workshop topics

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.

• 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 for recommending people and communities

• Evaluation methods and evaluations of SRS
• User studies