Estimating relevance of items on basis of proximity of user groups on blogspace

Shin Ya Sato, Kensuke Fukuda, Toshio Hirotsu, Satoshi Kurihara, Toshiharu Sugawara

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

Abstract

We describe a new method to estimate the relevance of two items (such as products and works of art) on the basis of the relationship between the corresponding user (blogger) groups on a blogspace, where a user group refers to a collection of users interested in an item. We estimated the strength of the relationship between user groups on the basis of their proximity on the blogspace. We validated our approach through experimental studies using actual data. In developing the method for estimating relevance among items, we introduced a new technique for measuring the proximity of two groups of vertices on a network, which can be thought of as an extension of conventional cooccurrence analysis.

Original languageEnglish
Title of host publicationProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Pages157-164
Number of pages8
DOIs
Publication statusPublished - 2009 Dec 1
Externally publishedYes
Event2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 - Milano, Italy
Duration: 2009 Sept 152009 Sept 18

Publication series

NameProceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Volume1

Other

Other2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009
Country/TerritoryItaly
CityMilano
Period09/9/1509/9/18

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications

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