Capturing knowledge worker behavior based on information diffusion theory

Masayuki Ishikawa, Peter Geczy, Noriaki Izumi, Takahira Yamaguchi

研究成果: Conference contribution

抄録

By analyzing the information diffusion in a studied large scale corporate portal, we discovered that only small population of users is sufficient to initiate the widespread of innovation. Applying these findings, we conducted analytic experiment for novel recommendation algorithm based on the browsing features of identified selected users and discovered that the first 10 users accessing a particular page play the key role in the information spread.

本文言語English
ホスト出版物のタイトルKnowledge-Based Software Engineering. Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering
出版社IOS Press
ページ378-382
ページ数5
1
ISBN(印刷版)9781586039004
DOI
出版ステータスPublished - 2008 1 1

出版物シリーズ

名前Frontiers in Artificial Intelligence and Applications
番号1
180
ISSN(印刷版)0922-6389

ASJC Scopus subject areas

  • Artificial Intelligence

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