An integrated recommendation approach based on influence and trust in social networks

Weimin Li, Zhengbo Ye, Qun Jin

研究成果

5 被引用数 (Scopus)

抄録

In real human society, influence on each other is an important factor in a variety of social activities. It is obviously important for recommendation. However, the influence factor is rarely taken into account in traditional recommendation algorithms. In this study, we propose an integrated approach for recommendation by analyzing and mining social data and introducing a set of new measures for user influence and social trust. Our experimental results show that our proposed approach outperforms traditional recommendation in terms of accuracy and stability.

本文言語English
ホスト出版物のタイトルFuture Information Technology
出版社Springer Verlag
ページ83-89
ページ数7
ISBN(印刷版)9783642550379
DOI
出版ステータスPublished - 2014
イベント9th FTRA InternationalConference on Future Information Technology, FutureTech 2014 - Zhangjiajie, China
継続期間: 2014 5 282014 5 31

出版物シリーズ

名前Lecture Notes in Electrical Engineering
309 LNEE
ISSN(印刷版)1876-1100
ISSN(電子版)1876-1119

Conference

Conference9th FTRA InternationalConference on Future Information Technology, FutureTech 2014
国/地域China
CityZhangjiajie
Period14/5/2814/5/31

ASJC Scopus subject areas

  • 産業および生産工学

引用スタイル