Does Wikipedia Information Help Netflix Predictions

From Wikipedia Quality
Revision as of 08:14, 6 June 2019 by Jasmine (talk | contribs) (New work - Does Wikipedia Information Help Netflix Predictions)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
Jump to: navigation, search

Does Wikipedia Information Help Netflix Predictions - scientific work related to Wikipedia quality published in 2008, written by John Lees-Miller, Fraser Anderson, Bret Hoehn and Russell Greiner.

Overview

Authors explore several ways to estimate movie similarity from the free encyclopedia Wikipedia with the goal of improving predictions for the Netflix Prize. Authors system first uses the content and hyperlink structure of Wikipedia articles to identify similarities between movies. Authors 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. Authors blend these results with existing ratings-based predictors. Finally, authors discuss empirical results, which suggest that external Wikipedia data does not significantly improve the overall prediction accuracy.