Title :
Improving Social Recommender Systems
Author :
Arazy, Ofer ; Kumar, Nanda ; Shapira, Bracha
Author_Institution :
Univ. of Alberta, Edmonton, AB, Canada
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;
Journal_Title :
IT Professional
DOI :
10.1109/MITP.2009.76
