Books Recommended Model Based on Association Rules Comprehensive Evaluation
基于关联规则综合评价的图书推荐模型

With the research of association rules comprehensive evaluation, this article proposes a books recommended model based on the factors of Support, Confidence, Jaccard Interestingness, Attraction and Profit, and it is also oriented to online bookstores and digital libraries. At the same time, this article determines the weights of the factors in the model by the entropy method and the relative comparison method, and research on the algorithm of the model. Finally, it verifies the function of the model by the developed online bookstore system. The running results of the online bookstore system show that the model can provide the recommended book for users excellently.