Abstract
This paper has improved the accuracy of recommendation by an improved collaborative filtering algorithm based on conventional computing method. By considering the preferences of different user and the similarity of their respective preferences, it proposed a similarity formula based on logarithm. Experimental results show that compared to traditional collaborative filtering algorithms, the new recommendation algorithm dramatically increased the recommendation accuracy, with better personalized recommendation effect.
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