Collaborative Filtering

  Anderson, C. 2004. The long tail. Wired 12 (10).
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Article coining the term ``long tail.'' Links to a blog as well. Has been expanded into a book.
  Anderson, C. 2006. The Long Tail: Why the Future of Business is Selling Less of More. Hyperion.
Book-length version of Anderson's long-tail theory.
  Berenzweig, A., B. Logan, D. P. W. Ellis, and B. Whitman. 2003. A large-scale evaluation of acoustic and subjective similarity measures. In Proceedings of the International Conference on Music Information Retrieval.
Compares content-based recommendation with collaborative filtering. Finds significant differences in the correlation of these two approaches with ground truth.
  Cohen, W. W., and W. Fan. 2000. Web-collaborative filtering: Recommendign music by crawling the Web. Computer Networks 33: 685-98.
Develops data for collaborative filtering for music recommendation by crawling the web. Finds that the resulting `pseudo-users' are almost as good as real users in building a recommendation system.
  Cunningham, S. J., D. Bainbridge, and A. Falconer. 2006. `more of an art than a science': Supporting the creation of playlists and mixes. In Proceedings of the International Conference on Music Information Retrieval.
User study of personal music playlists. Concludes that the process is more complicated than collaborative filtering alone can handle but recommends it for locations `more songs like these'.
  Yoshii, K., M. Goto, K. Komatani, T. Ogata, and H. G. Okuno. 2006. Hybrid collaborative and content-based music reocmmendation using probabilistic model with latent user preferences. In Proceedings of the International Conference on Music Information Retrieval.
Hybrid recommendation system using collaborative filtering and content-based features. Estimates ratings for unrated pieces using content-based features. Outperforms either technique used alone.
  Zaslow, J. 2002, 26 November. If TiVo thinks you are gay, here's how to set it straight. Wall Street Journal.
Anecdote of a failure of collaborative filtering as a frustrated user tries to convince his TiVo that he is not gay.

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