Mining navigation history for recommendation

Xiaobin Fu*, Jay Budzik, Kristian J Hammond

*Corresponding author for this work

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

150 Scopus citations

Abstract

Although a user's navigation history contains a lot of hidden information about the relationship between web pages and between users, this information is usually not exploited. The information hidden in the history can be an invaluable source of knowledge in assisting a user to better surf the Web. We presented a system which actively monitors and tracks a user's navigation. Once a user's navigation history is captured, we apply data mining techniques to discover the hidden knowledge contained in the history. The knowledge is then used to suggest potentially interesting web pages to users.

Original languageEnglish (US)
Title of host publicationInternational Conference on Intelligent User Interfaces, Proceedings IUI
PublisherACM
Pages106-112
Number of pages7
StatePublished - Jan 1 2000
EventIUI-2000: International Conference on Intelligent User Interfaces - New Orleans, LA, USA
Duration: Jan 9 2000Jan 12 2000

Other

OtherIUI-2000: International Conference on Intelligent User Interfaces
CityNew Orleans, LA, USA
Period1/9/001/12/00

ASJC Scopus subject areas

  • Computer Science(all)

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