Workshop on Social Recommender Systems
- New! Abstracts for our two keynotes posted
- Submission deadline extended by one week to May 20th.
- Workshop date: July 17th, 2012.
- Peter Brusilovsky and Shlomo Berkovsky confirmed as keynote speakers.
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 for recommending people and communities
- 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
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
May 20, 2012 Submission deadline
- June 04, 2012 Notification of acceptance
- June 18, 2012 Camera ready
- July 17, 2012 Workshop
- Ido Guy, IBM Haifa Research Lab, Israel
- Li Chen, Hong Kong Baptist University, Hong Kong
- Michelle X. Zhou, IBM Almaden Research Lab, USA