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    DMIR Research Group

    Publications by Andreas Hotho

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    A Comparison of Content-Based Tag Recommendations in Folksonomy Systems

    Illig, Jens; Hotho, Andreas; Jäschke, Robert; Stumme, Gerd in Knowledge Processing and Data Analysis Wolff, Karl Erich; Palchunov, Dmitry E.; Zagoruiko, Nikolay G.; Andelfinger, Urs ( Eds. ), volume   6581   of   Lecture Notes in Computer Science 6581 , page 136--149 . Berlin/Heidelberg , Springer , 2011 .

    Recommendation algorithms and multi-class classifiers can support users of social bookmarking systems in assigning tags to their bookmarks. Content based recommenders are the usual approach for facing the cold start problem, i.e., when a bookmark is uploaded for the first time and no information from other users can be exploited. In this paper, we evaluate several recommendation algorithms in a cold-start scenario on a large real-world dataset.
    Further Information
    Editor(s) Wolff, Karl Erich; Palchunov, Dmitry E.; Zagoruiko, Nikolay G.; Andelfinger, Urs
    DOIhttp://dx.doi.org/10.1007/978-3-642-22140-8_9
    Tags2011  content  folksonomy  for:dmir  myown  recommendations  recommender  tag 

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