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《Computer Knowledge and Technology》 2017-33
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Book Recommendation Based on Apriori Association Analysis and Collaborative Filtering

LI Wen-hua;College of Computer, North China University of Technology;  
Based on the characteristics of book borrowing data, this paper proposes an algorithm Based on Apriori association analysis and collaborative filtering recommendation. The important difficulty for collaborative filtering algorithms is to calculate the similarity between books, especially in the absence of user rating data. In this paper, the Apriori correlation algorithm and the collaborative filtering recommendation algorithm are combined to construct the similarity matrix between books by using the correlation between the books, which solves the problem of lack of user score in the book borrowing data. The experimental results show that The recommendation accuracy and efficiency of the book borrowing data set have improved greatly.
【CateGory Index】: TP391.3
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