Improved Collaborative Filtering Recommendation Algorithm Based on Weighted Association Rules

Hai Yang

doi:10.4028/www.scientific.net/AMM.411-414.94

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 411-414Improved Collaborative Filtering Recommendation...

Improved Collaborative Filtering Recommendation Algorithm Based on Weighted Association Rules

Abstract:

In this paper the collaborative filtering recommendation and association rules are introduced firstly. Aiming at the shortcomings of basic collaborative filtering recommendation, this paper proposes an improved collaborative filtering recommendation algorithm based on weighted association rules (CFRA-WAR). Finally the simulation experiments are carried out to verify the validity of the improved recommendation algorithm. The results of simulation experiments show that the recommendation accuracy of CFRA-WAR is superior to basic collaborative filtering recommendation algorithm, although the algorithm time of CFRA-WAR is a little longer.

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Periodical:

Applied Mechanics and Materials (Volumes 411-414)

Pages:

94-97

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.411-414.94

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Online since:

September 2013

Authors:

Hai Yang

Keywords:

Calculation of Similarity, Collaborative Filtering (CF), Recommendation Algorithm, Weighted Association Rules

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