Automobile information on internet increases fast as the quick development in automobile information construction. However, general search engines are unable to meet the increasing demand for accurate searching of automobile information. The present paper reports the designing and implementation of a vertical search engine of automobile information by adopting vector space model to identify the automobile subject, and combine content analysis and link analysis. This search engine was proven making the result more reasonable and effective and thus increasing the rate of accuracy of search engine.


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    Titel :

    The Research and Implementation for Vertical Search Engine of Automobile Information


    Beteiligte:
    Xia, Bin (Autor:in) / Guo, Peng-Yan (Autor:in) / Qiao, Hong-Bo (Autor:in) / Gao, Rui (Autor:in)


    Erscheinungsdatum :

    2012


    Format / Umfang :

    5 Seiten




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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