2nd International Workshop on Social Recommender Systems

In conjunction with CSCW 2011, March 19-23, Hangzhou, China


Workshop on Social Recommender Systems

Workshop on Social Recommender Systems

New! Workshop program is updated (the workshop will be held on March 19, 2011)

Ten papers are accepted. See Accepted papers 

Keynote speech "Recommending from Actions, Not Content: New Approaches in Social Recommendation" by David Ayman Shamma from Yahoo! Research

Keynote speech "Building Social Recommenders for Delicious and Twitter" by Ed H. Chi from Palo Alto Research Center

Workshop topics

Social media sites have become tremendously popular in recent years. Yet, the abundance and popularity of social media floods users with huge volumes of information and hence poses a great challenge in terms of information finding. Social Recommender Systems aim to alleviate information overload for users by presenting the most relevant and useful information items. Social recommender systems that suggest content (e.g., wikis and forum posts), people, and communities often use personalization techniques to adapt to the needs and interests of individual users, or a group of users. This workshop will bring together researchers and practitioners around the emerging topics of social recommender systems. We will review state-of-the-art advances in the field and identify key challenges going forward.

High-quality papers from this workshop will be recommended to international journals, such as ACM Transactions on Intelligent Systems and Technology.

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
  • Characteristics of online social sites in need of social recommenders
  • Culture-specific social recommenders
  • 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)
  • Social network analysis and recommender systems 
  • Recommendations and the real-time web (Twitter, Facebook, and other micro-blogging services or activity streams)

User interfaces in social recommender systems (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 methods and evaluations of SRS
  • User studies

Important Dates 

  • December 19, 2010: Submission of title and abstract (500 words)
  • December 30, 2010: Author notification
  • UPDATED! January 14, 2011: Online registration through CSCW site
  • February 12, 2011: Submission of full paper (1 to 8 pages long) 


  • Ido Guy, IBM Haifa Research Lab, Israel 
  • Li Chen, Hong Kong Baptist University, Hong Kong
  • Michelle X. Zhou, IBM Almaden Research Lab, USA   

2nd International Workshop on Social Recommender Systems