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Design and Implementation of an Apriori-Based Recommendation System for College Libraries

机译:基于APRiori的大学图书馆推荐制度的设计与实现

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摘要

There are few effective recommendation methods currently available at the college libraries. In order to meet the real-world circulation demands for college library books, in-depth analysis is performed on the library book circulation data and the readers' preferences. A recommendation model is established. The Apriori algorithm is used to design a recommendation system for college library. The proposed system is able to provide efficient and custom services, enabling readers to find the books of their interest more quickly. Moreover, the proposed system can improve library book utilization, library management level and service efficiency.
机译:大学图书馆目前还有很少有效推荐方法。为了满足大学图书馆书籍的现实流通需求,对图书馆书籍流通数据和读者的偏好进行深入分析。建立了建议模型。 APRIORI算法用于设计大学图书馆推荐系统。建议的系统能够提供有效和自定义的服务,使读者能够更快地找到他们兴趣的书籍。此外,所提出的系统可以提高库书籍利用,库管理水平和服务效率。

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