Workshop on Social Recommender Systems
IUI2010, Hong Kong, February 7 - 10, 2010

Social Recommender Systems

Social media sites have become tremendously popular in recent years. Prominent examples include photo and video sharing sites such as Flickr and YouTube, blog and wiki systems such as Blogger and Wikipedia, social tagging sites such as Delicious, social network sites (SNSs), such as MySpace and Facebook, and micro-blogging sites such as Twitter. Millions of users are active daily in these sites, creating rich information online that has not been available before. Yet, the abundance and popularity of social media sites floods users with huge volumes of information and hence poses a great challenge in terms of information overload.

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. SRSs also aim at increasing adoption, engagement, and participation of new and existing users of social media sites. In addition to recommending content to consume, new types of recommendations emerge within social media, such as of people and communities to connect to, to follow, or to join.

This workshop desires to bring together researchers and practitioners around the emerging topic 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.

Topics of interests include, but are not limited to:

Social recommender technologies and applications

  • Model of recommendation context (e.g., types of information needed) for social recommender systems
  • New algorithms suitable for social recommender systems
  • New recommender applications for social media sites (e.g., people and community recommenders)
  • Recommendations for individuals and communities
  • Social recommender systems in the enterprise
  • Diversity and novelty in social recommender systems
  • Recommendations for diverse user groups (e.g., new users of social media sites versus frequent users)

User interfaces in social recommender systems (SRSs)

  • Transparency and explanations in SRSs
  • Adaption and personalization for SRSs
  • User feedback in SRSs
  • Trust and reputation in SRSs
  • Social awareness and visualization


  • Evaluation methods and evaluations of SRSs
  • User studies

Important Dates

December 15th, 2009 (5:00pm US EST) submission deadline of long, short, and demo papers

January 5th, 2010 author notification date

January 15th, 2010 submission deadline of camera-ready version

February 7th, 2010 workshop held
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