Distributed Recommendation System Using Clustering-based Collaborative Filtering Algorithm
Journal: The Journal of the Institute of Internet, Broadcasting and Communication (Vol.14, No. 1)Publication Date: 2014-02-28
Authors : Hyun-Je Jo; Phill-Kyu Rhee;
Page : 101-107
Keywords : Recommendation System; Collaborative Filtering; Min-hash Clustering; Hadoop;
Abstract
This paper presents an efficient distributed recommendation system using clustering collaborative filtering algorithm in distributed computing environments. The system was built based on Hadoop distributed computing platform, where distributed Min-hash clustering algorithm is combined with user based collaborative filtering algorithm to optimize recommendation performance. Experiments using Movie Lens benchmark data show that the proposed system can reduce the execution time for recommendation compare to sequential system.
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