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Tutorial :
Social Recommender Systems
Tutorial id tr23
Tutorial name Social Recommender Systems
Presenters • Ido Guy manages the Social Technologies group at the
IBM Haifa Research Lab, to which he joined in 2000. Ido has led and contributed to various projects around collaboration technologies and social analytics. In 2010, he received a Corporate Award for his contribution to Enterprise Social Software.
Ido's main area of research activity is social media, with special focus on social network mining and analysis and on recommender systems. He has published various papers, spanning the fields of Human-Computer Interaction, Information and Knowledge Management, and Data Mining. In recent years, Ido has been particularly active in the area of Social Recommender Systems, publishing key papers on people recommendation, content recommendation in social media, and personalized social search. He is co-chair of the Workshop on Social Recommender Systems (held at IUI 2010 and CSCW2011) and a guest co-editor of the ACM TIST special issue on Social Recommender Systems (published in 2011). Ido was also co-chair of the industry program of the 2010 ACM Recommender Systems conference.
• David Carmel is a Research Staff Member at the Information Retrieval group at IBM Haifa Research Lab. David earned his PhD in Computer Science from the Technion, Israel Institute of Technology in 1997. David's research is focused on search in the enterprise, query performance prediction, social search, social recommendation and text mining. For several years David taught the Introduction to IR course at the CS department at Haifa university. At IBM, David is a key contributor to IBM enterprise search offerings. David is a co-founder of the Juru search engine which provides integrated search capabilities to several IBM products, and was used as a search platform for several studies in the TREC conferences. David has published more than 80 papers in Information retrieval and Web journals and conferences, and serves on the PC of many Web and IR conferences (SIGIR, WWW, WSDM, CIKM). He is a member of the editorial board of the IR journal, and cochaired the WDSM 2011 workshop on user modeling for web applications. David has been involved recently in the area of social search and recommendation.


The goal of this tutorial is to expose participants to the current research on social recommender systems (i.e., recommender systems for the social web). Participants will become familiar with state-of-the-art recommendation methods, their classifications according to various criteria, common evaluation methodologies, and potential applications that can utilize social recommender systems. Additionally, open issues and challenges in the field will be discussed.


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