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Does Wikipedia Information Help Netflix Predictions?

Full Text: icmla-20081003a.pdf PDF
Other Attachments: NetflixPoster.pdf [PDF] PDF

We explore several ways to estimate movie similarity from the free encyclopedia Wikipedia with the goal of improving our predictions for the Netflix Prize. Our system first uses the content and hyperlink structure of Wikipedia articles to identify similarities between movies. We then predict a user’s unknown ratings by using these similarities in conjunction with the user’s known ratings to initialize matrix factorization and k-Nearest Neighbours algorithms. We blend these results with existing ratings-based predictors. Finally, we discuss our empirical results, which suggest that external Wikipedia data does not significantly improve the overall prediction accuracy.


J. Lees-Miller, F. Anderson, B. Hoehn, R. Greiner. "Does Wikipedia Information Help Netflix Predictions?". International Conference on Machine Learning and Applications (ICMLA), December 2008.

Keywords: machine learning, netflix, collaborative filtering
Category: In Conference


  author = {John Lees-Miller and Fraser Anderson and Bret Hoehn and Russ
  title = {Does Wikipedia Information Help Netflix Predictions?},
  booktitle = {International Conference on Machine Learning and Applications
  year = 2008,

Last Updated: February 11, 2013
Submitted by Russ Greiner

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