DocumentCode
1145957
Title
Improving Social Recommender Systems
Author
Arazy, Ofer ; Kumar, Nanda ; Shapira, Bracha
Author_Institution
Univ. of Alberta, Edmonton, AB, Canada
Volume
11
Issue
4
fYear
2009
Firstpage
38
Lastpage
44
Abstract
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.
Keywords
information filtering; social networking (online); electronic communication tool; online sites; online social network; social recommender system; Application specific integrated circuits; Business; Collaborative work; Filtering; Laboratories; Motion pictures; MySpace; Psychology; Recommender systems; Social network services; Design Science; IT Professional.; Recommendation systems; advice taking; social computing;
fLanguage
English
Journal_Title
IT Professional
Publisher
ieee
ISSN
1520-9202
Type
jour
DOI
10.1109/MITP.2009.76
Filename
5173037
Link To Document