Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS

Weimin Li, Yikai Ni, Minye Wu, Zhengbo Ye, Qun Jin

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

With the development of social network services, the user relation spectrum of the social network has exceeded our imagination. Hence, personalized recommendation algorithms are adopted in many social networking sites to help users find their potential friends and related information more quickly and conveniently. In this paper, we discuss the weaknesses of current algorithms, and propose a user profile integrated dynamic social recommendation algorithm in order to overcome those limitations. Finally, through the experiment on Weibo dataset, it can conclude that the proposed algorithm outperforms traditional approaches in terms of accuracy and stability.

本文言語English
ホスト出版物のタイトルProceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ページ261-266
ページ数6
ISBN(電子版)9781479980857
DOI
出版ステータスPublished - 2015 8 3
イベント2nd International Conference on Advanced Cloud and Big Data, CBD 2014 - Huangshan, Anhui, China
継続期間: 2014 11 202014 11 22

出版物シリーズ

名前Proceedings - 2014 2nd International Conference on Advanced Cloud and Big Data, CBD 2014

Other

Other2nd International Conference on Advanced Cloud and Big Data, CBD 2014
国/地域China
CityHuangshan, Anhui
Period14/11/2014/11/22

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • 情報システム

フィンガープリント

「Social Recommendation Algorithm Dynamically Adaptable to User Profiling for SNS」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル