Information diffusion approach to cold-start problem

Masayuki Ishikawa, Peter Geczy, Noriaki Izumi, Takeshi Morita, Takahira Yamaguchi

研究成果: Conference contribution

14 被引用数 (Scopus)

抄録

Cold-start problem is eminent when dealing with new users and new or updated items in web environments. To approach the problem we draw motivation from the innovation diffusion theory. We thoroughly analyzed the information diffusion in the studied large scale corporate portal and discovered that innovators play the key role in the information spread. Applying these findings we introduce a novel effective solution to the cold-start problem by providing recommendations based on the browsing features of identified selected innovators. The system has been experimentally tested and evaluated.

本文言語English
ホスト出版物のタイトルProceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
ページ129-132
ページ数4
DOI
出版ステータスPublished - 2007 12 1
イベント2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 - Silicon Valley, CA, United States
継続期間: 2007 11 22007 11 5

出版物シリーズ

名前Proceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007

Other

Other2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
CountryUnited States
CitySilicon Valley, CA
Period07/11/207/11/5

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

引用スタイル