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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. |
Abstract
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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