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    Assistant Professor

    Department of Computer Science, Quaid-i-Azam University, Islamabad

    RichVSM : enRiched Vector Space Models for Folksonomies Categories and Subject Descriptors

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    People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries.

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    Description

    Title : RichVSM : enRiched Vector Space Models for Folksonomies Categories and Subject Descriptors
    Author(s) : Rabeeh Abbasi, Steffen Staab
    Abstract : People share millions of resources (photos, bookmarks, videos, etc.) in Folksonomies (like Flickr, Delicious, Youtube, etc.). To access and share resources, they add keywords called tags to the resources. As the tags are freely chosen keywords, it might not be possible for users to tag their resources with all the relevant tags. As a result, many resources lack sufficient number of relevant tags. The lack of relevant tags results into sparseness of data, and this sparseness of data makes many relevant resources unsearchable against user queries.
    Keywords : sparse, a result, might not, many re, relevant tags, possible users, relevant tags results, resources with all, sources lack sufficient number, sparseness data, tag, lack

    Subject : unspecified
    Area : Other
    Language : English
    Year : 2009

    Affiliations Department of Computer Science, Quaid-i-Azam University, Islamabad
    Journal : Foundations
    Publisher : ACM Press
    Pages : 219-228
    Url : http://portal.acm.org/citation.cfm?doid=1557914.1557952
    Doi : 10.1145/1557914.1557952

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