Using Wikipedia to Boost Svd Recommender Systems
Authors | Gilad Katz Guy Shani Bracha Shapira Lior Rokach |
|---|---|
Publication date | 2012 |
Links | Original Preprint |
Using Wikipedia to Boost Svd Recommender Systems - scientific work related to Wikipedia quality published in 2012, written by Gilad Katz, Guy Shani, Bracha Shapira and Lior Rokach.
Overview
Singular Value Decomposition (SVD) has been used successfully in recent years in the area of recommender systems. In this paper authors present how this model can be extended to consider both user ratings and information from Wikipedia. By mapping items to Wikipedia pages and quantifying their similarity, authors are able to use this information in order to improve recommendation accuracy, especially when the sparsity is high. Another advantage of the proposed approach is the fact that it can be easily integrated into any other SVD implementation, regardless of additional parameters that may have been added to it. Preliminary experimental results on the MovieLens dataset are encouraging.
Embed
Wikipedia Quality
Katz, Gilad; Shani, Guy; Shapira, Bracha; Rokach, Lior. (2012). "[[Using Wikipedia to Boost Svd Recommender Systems]]".
English Wikipedia
{{cite journal |last1=Katz |first1=Gilad |last2=Shani |first2=Guy |last3=Shapira |first3=Bracha |last4=Rokach |first4=Lior |title=Using Wikipedia to Boost Svd Recommender Systems |date=2012 |url=https://wikipediaquality.com/wiki/Using_Wikipedia_to_Boost_Svd_Recommender_Systems}}
HTML
Katz, Gilad; Shani, Guy; Shapira, Bracha; Rokach, Lior. (2012). "<a href="https://wikipediaquality.com/wiki/Using_Wikipedia_to_Boost_Svd_Recommender_Systems">Using Wikipedia to Boost Svd Recommender Systems</a>".
