Authors:
Michel Plu
1
;
Layda Agosto
1
;
Laurence Vignollet
2
and
Jean-Charles Marty
2
Affiliations:
1
France Telecom R&D, France
;
2
Laboratoire SYSCOM, Unniversité de Savoie, France
Keyword(s):
Collaborative filtering, recommender systems, social network analysis, online communities, social media
Related
Ontology
Subjects/Areas/Topics:
Enterprise Information Systems
;
Human-Computer Interaction
;
Internet HCI: Web Interfaces and Usability
Abstract:
Within corporate intranet or on the WWW, a global search engine is the main service used to discover and sort information. Nevertheless, even the most "intelligent" ones have great difficulties to select those targeted to each user specific needs and preferences. We have built a mediated social media named SoMeONe, which helps people to control their information exchanges through trusted relationships. A key component of this system is a contact recommender, which helps people to open their relationship networks by exchanging targeted information with qualified new users. Instead of using only matching between interests of users, this "socially aware" recommender system also takes into account existing relationships in the social network of the system. In this paper, we describe the computations of those recommendations based on a social network analysis.