Web page recommender system based on Folksonomy mining for ITNG '06 submissions

Satoshi Niwa, Takuo Doi, Shinichi Honiden

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

69 Citations (Scopus)

Abstract

There have been many attempts to construct web page recommender systems using collaborative filtering. But the domains these systems can cover are very restricted because it is very difficult to assemble user preference data to web pages, and the number of web pages on the Internet is too large. In this paper, we propose the way to construct a new type of web page recommender system covering all over the Internet, by using Folksonomy and Social Bookmark which are getting very popular in these days.

Original languageEnglish
Title of host publicationProceedings - Third International Conference onInformation Technology
Subtitle of host publicationNew Generations, ITNG 2006
Pages388-393
Number of pages6
DOIs
Publication statusPublished - 2006 Nov 14
Externally publishedYes
EventThird International Conference on Information Technology: New Generations, ITNG 2006 - Las Vegas, NV, United States
Duration: 2006 Apr 102006 Apr 12

Publication series

NameProceedings - Third International Conference onInformation Technology: New Generations, ITNG 2006
Volume2006

Other

OtherThird International Conference on Information Technology: New Generations, ITNG 2006
CountryUnited States
CityLas Vegas, NV
Period06/4/1006/4/12

ASJC Scopus subject areas

  • Engineering(all)

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