User correlation discovery and dynamical profiling based on social streams

Xiaokang Zhou, Qun Jin

研究成果: Conference contribution

9 被引用数 (Scopus)

抄録

In this study, we try to discover the potential and dynamical user correlations using those reorganized social streams in accordance with users' current interests and needs, in order to assist the information seeking process. We develop a mechanism to build a Dynamical Socialized User Networking (DSUN) model, and define a set of measures (such as interest degree, and popularity degree) and concepts (such as complementary tie, weak tie, and strong tie), which can discover and represent users' current profiling and dynamical correlations. The corresponding algorithms are developed respectively. Based on these, we finally discuss an application scenario of the DSUN model with experiment results.

本文言語English
ホスト出版物のタイトルActive Media Technology - 8th International Conference, AMT 2012, Proceedings
ページ53-62
ページ数10
DOI
出版ステータスPublished - 2012 12 6
イベント8th International Conference on Active Media Technology, AMT 2012 - Macau, China
継続期間: 2012 12 42012 12 7

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
7669 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference8th International Conference on Active Media Technology, AMT 2012
国/地域China
CityMacau
Period12/12/412/12/7

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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