Comment-based multi-view clustering of web 2.0 items

    WWW, pp. 771-782, 2014.

    Cited by: 61|Bibtex|Views4|Links
    EI
    Keywords:
    co-regularized non-negative matrix factorizationco-regularized spectral clusteringpair-wise conmfcluster-wise conmfcomment-based multi-viewMore(6+)

    Abstract:

    Clustering Web 2.0 items (i.e., web resources like videos, images) into semantic groups benefits many applications, such as organizing items, generating meaningful tags and improving web search. In this paper, we systematically investigate how user-generated comments can be used to improve the clustering of Web 2.0 items. In our prelimina...More

    Code:

    Data:

    Your rating :
    0

     

    Tags
    Comments