Workshop on Recommender Systems and the Social Web

The goal of this workshop is to bring together researcher and practitioners to explore, discuss, and understand challenges and new opportunities for recommender systems and the Social Web. We solicit original contributions in the following areas: Social network and folksonomy development: Recommending friends, tags, bookmarks, blogs, music, communities etc. Leveraging Models user behavior on the Social Web for recommendation Recommender systems mash-ups, intelligent user interfaces, rich media recommender systems Collaborative knowledge authoring, collective intelligence Topic emergence and evolution on the Social Web and their role in recommendation process Recommender applications involving users or groups directly in the recommendation process Exploiting folksonomies, social network information, user interactions, and communities recommendation process The role of context in Social Web recommendation Trust and reputation aware social recommendations Semantic Web recommender systems, use of ontologies or microformats Empirical evaluation of social recommender techniques, success and failure measures Case studies and novel fielded social recommender applications Economy of community-based systems: Using recommenders to encourage users to contribute and sustain participation Social recommender systems in the enterprise Recommendation for groups Processing big Social Web data volumes for recommendation, scalability issues