Design and Implementation of Digital Book Recommendation Platform Based on Data Mining Visualization Technology

Abstract

The rapid development of Internet technology in the information age incurs serious problems of overloaded network data resources and complicated operation of website pages due to their dynamics and multi-structural operation patterns. Consequently, information resources are obtained from certain interfaces ineffectively. The purpose of this paper is to use the association rules in the data mining visualization technology to complete the design and implementation of the digital book recommendation system. With the Apriori book recommendation algorithm, an in-depth analysis is conducted on the reader borrowing data in this system, and the association rule visualization model is optimized in all aspects to produce a visualization model of diamond graphs. Moreover, the digital book recommendation system is established on the basis of professional knowledge and skills, whose system interface is easy for readers to understand and use such that shortening the time required for book borrowing. The readers’ basic demand can be met, with the provision of scientific technical services which further increases the utilization rate of library resources.