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
    Volume1
    DOIs
    Publication statusPublished - 2009
    Event2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 - Milano
    Duration: 2009 Sep 152009 Sep 18

    Other

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

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications

    Cite this

    Sato, S. Y., Fukuda, K., Hirotsu, T., Kurihara, S., & Sugawara, T. (2009). Estimating relevance of items on basis of proximity of user groups on blogspace. In Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009 (Vol. 1, pp. 157-164). [5286078] https://doi.org/10.1109/WI-IAT.2009.31