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    AuthorTitleYearJournal/ProceedingsReftypeDOI/URL
    Byde, A., Wan, H. & Cayzer, S. Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics

    [Abstract] [BibTeX]

    		 2007 Proceedings of the International Conference on Weblogs and Social
    edia     		 inproceedings URL 
    Abstract: This short paper describes a novel technique for generating personalized
    ag recommendations for users of social book- marking sites such
    s del.icio.us. Existing techniques recom- mend tags on the basis
    f their popularity among the group of all users; on the basis of
    ecent use; or on the basis of simple heuristics to extract keywords
    rom the url being tagged. Our method is designed to complement these
    pproaches, and is based on recommending tags from urls that are
    imilar to the one in question, according to two distinct similarity
    etrics, whose principal utility covers complementary cases.
    BibTeX: 
    @inproceedings{byde2007personalized,
  author = {Byde, Andrew and Wan, Hui and Cayzer, Steve},
  title = {Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics},
  booktitle = {Proceedings of the International Conference on Weblogs and Social

    edia},
  year = {2007},
  url = {http://www.icwsm.org/papers/paper47.html}
}
    Byde, A., Wan, H. & Cayzer, S. Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics

    [Abstract] [BibTeX]

    		 2007 Proceedings of the International Conference on Weblogs and Social Media  inproceedings URL 
    Abstract: This short paper describes a novel technique for generating personalized tag recommendations for users of social book- marking sites such as del.icio.us. Existing techniques recom- mend tags on the basis of their popularity among the group of all users; on the basis of recent use; or on the basis of simple heuristics to extract keywords from the url being tagged. Our method is designed to complement these approaches, and is based on recommending tags from urls that are similar to the one in question, according to two distinct similarity metrics, whose principal utility covers complementary cases.
    BibTeX: 
    @inproceedings{Byde2007,
  author = {Byde, Andrew and Wan, Hui and Cayzer, Steve},
  title = {Personalized Tag Recommendations via Tagging and Content-based Similarity Metrics},
  booktitle = {Proceedings of the International Conference on Weblogs and Social Media},
  year = {2007},
  url = {http://www.icwsm.org/papers/paper47.html}
}
    Michlmayr, E. & Cayzer, S. Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access

    [BibTeX]

    		 2007 Tagging and Metadata for Social Information Organization Workshop, WWW07  inproceedings  
    BibTeX: 
    @inproceedings{michlmayr07,
  author = {Michlmayr, Elke and Cayzer, Steve},
  title = {Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access},
  booktitle = {Tagging and Metadata for Social Information Organization Workshop, WWW07},
  year = {2007}
}

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