Extraction of feature words with the same generality level as query using restricted bootstrapping

Jun Zeng, Toshihiko Sakai, Brendan Flanagan, Sachio Hirokawa

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

    Abstract

    It is not so simple to get an appropriated level of search result among a large number of targets which might be too general or too specific. Hints for the query are valuable for a user to expand or shrink his next search step, if the hints would be shown with their levels compared with the user's original query. This paper proposes a method to extract feature words of the same level as user's query using restricted bootstrap. Examples are shown to demonstrate the effectiveness of the method on tourism blogs. The paper proposes an evaluation measure for the similarity of levels for words based on WordNet.

    Original languageEnglish
    Title of host publicationProceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
    Pages171-176
    Number of pages6
    DOIs
    Publication statusPublished - 2012
    Event2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012 - Hangzhou, China
    Duration: Sep 9 2012Sep 11 2012

    Publication series

    NameProceedings of the 2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012

    Other

    Other2012 IEEE 14th International Conference on Commerce and Enterprise Computing, CEC 2012
    Country/TerritoryChina
    CityHangzhou
    Period9/9/129/11/12

    All Science Journal Classification (ASJC) codes

    • Information Systems and Management
    • Economics, Econometrics and Finance (miscellaneous)

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