Information diffusion approach to cold-start problem

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007
Pages129-132
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
Event2007 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT Workshops 2007 - Silicon Valley, CA, United States
Duration: 2007 Nov 22007 Nov 5

Publication series

NameProceedings - 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

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