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| Research of a Collaborative Filtering Algorithm Based on Harmony Search |
| Wang Huaqiu |
| School of Computer Science, Chongqing University of Technology, Chongqing 400054, China |
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Abstract The traditional similarity algorithm of collaborative filteringis modified in this paper. In order to find an optimal similarity function, the paper presents harmony search algorithm with parameters optimization to find the optimal weights vector of similarity function. To improve the speed of recommendation, harmony search algorithm is no longer used for the calculation of the recommendation after finding the optimal similarity function. The validation experiments show that the proposed algorithm improves prediction accuracy and coverage so as to provide better recommendation. And the proposed algorithm can more quickly obtain the nearest neighbor users of the target user, which can accelerate the recommended speed.
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Received: 28 October 2012
Published: 12 March 2013
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