Volume : VIII, Issue : VIII, August - 2019

RESEARCH ON SIMILARITY ALGORITHM BASED ON USER BEHAVIOR CONSISTENCY

Zhang Haichao, Yang Lianhe

Abstract :

Collaborative filtering algorithm is one of the most classical and successful recommendation algorithms. The similarity measurement method of traditional collaborative filtering algorithm ignores the consistency of user behaviors, which leads to inaccurate similarity calculation. Aiming at the above problems, this paper designs a similarity calculation method based on user behavior, this method rewards and penalizes the similarity calculation according to whether the user scores are consistent, and also takes into account the dispersion of user scores and the proportion of common scores among users in the similarity calculation process. The experimental results show that compared with the other four algorithms, when the nearest neighbor is 5, the accuracy of the algorithm is improved by 2.34%, 3.49%, 5.41% and 9.33%, respectively, which effectively improves the recommendation quality.

Keywords :

Article: Download PDF   DOI : 10.36106/ijsr  

Cite This Article:

RESEARCH ON SIMILARITY ALGORITHM BASED ON USER BEHAVIOR CONSISTENCY, Zhang Haichao, Yang Lianhe INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH : Volume-8 | Issue-8 | August-2019

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