Does Wikipedia Information Help Netflix Predictions
Authors | John Lees-Miller Fraser Anderson Bret Hoehn Russell Greiner |
|---|---|
Publication date | 2008 |
DOI | 10.1109/ICMLA.2008.121 |
Links | Original Preprint |
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.
Embed
Wikipedia Quality
Lees-Miller, John; Anderson, Fraser; Hoehn, Bret; Greiner, Russell. (2008). "[[Does Wikipedia Information Help Netflix Predictions]]".DOI: 10.1109/ICMLA.2008.121.
English Wikipedia
{{cite journal |last1=Lees-Miller |first1=John |last2=Anderson |first2=Fraser |last3=Hoehn |first3=Bret |last4=Greiner |first4=Russell |title=Does Wikipedia Information Help Netflix Predictions |date=2008 |doi=10.1109/ICMLA.2008.121 |url=https://wikipediaquality.com/wiki/Does_Wikipedia_Information_Help_Netflix_Predictions}}
HTML
Lees-Miller, John; Anderson, Fraser; Hoehn, Bret; Greiner, Russell. (2008). "<a href="https://wikipediaquality.com/wiki/Does_Wikipedia_Information_Help_Netflix_Predictions">Does Wikipedia Information Help Netflix Predictions</a>".DOI: 10.1109/ICMLA.2008.121.
