Issue No.04 - July/August (2009 vol.11)
Ofer Arazy , University of Alberta
Nanda Kumar , City University of New York
Bracha Shapira , Deutsche Telekom Laboratories at Ben-Gurion University
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MITP.2009.76
Recommender systems play a significant role in reducing information overload for people visiting online sites, but their accuracy could be improved by using data from online social networks and electronic communication tools.
Recommendation systems, Design Science, advice taking, social computing, IT Professional.
Ofer Arazy, Nanda Kumar, Bracha Shapira, "Improving Social Recommender Systems", IT Professional, vol.11, no. 4, pp. 38-44, July/August 2009, doi:10.1109/MITP.2009.76