The Application of Cloud Based on Latent Factor Algorithm in Personalized Recommendation

Jian Xi Peng; Zhi Yuan Liu

doi:10.4028/www.scientific.net/AMM.411-414.2288

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414The Application of Cloud Based on Latent Factor...

The Application of Cloud Based on Latent Factor Algorithm in Personalized Recommendation

Abstract:

Recommendation system is a commercial marketing method. What more, the system could increase adhesion and satisfaction of consumers to the website which brings great commercial benefit to electronic commerce. But with big data ages coming, it makes a great challenge to real-time recommendation system. As for latent factor class collaborative filtering algorithm, a distributed constructed latent factor algorithm based on cloud is presented in this paper. The algorithm could keep collaborative filtering in good recommendation and ensure the real time in massive data environment. The simulation shows that the algorithm could achieve the recommendation efficiently and quickly. High speedup and scalability are proved.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

2288-2291

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.2288

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Online since:

September 2013

Authors:

Jian Xi Peng, Zhi Yuan Liu

Keywords:

Cloud Platform, Collaborative Filtering (CF), Latent Factor Algorithm, Recommendation System

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