Research on commodity intelligent recommendation system based on data mining

Xiaoqian Yang; Pan Jiang; Yijia Hong

doi:10.1117/12.3009277

11 October 2023 Research on commodity intelligent recommendation system based on data mining

Xiaoqian Yang, Pan Jiang, Yijia Hong

Proceedings Volume 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023); 129181X (2023) https://doi.org/10.1117/12.3009277
Event: International Conference on Computer Science and Communication Technology (ICCSCT 2023), 2023, Wuhan, China

Abstract

With the development of computer technology and the urgent need of the commercial society, the recommended products urgently require the realization of intelligence and precision. The commodity intelligent recommendation system based on data mining uses Spring Boot technology at the front end and SQLite database at the back end. Data mining algorithm is used for data analysis and screening. Design and implementation the function modules of the commodity intelligent recommendation system based on data mining, such as home page, mall, exploration and me. Through the test, the performance and throughput rate of the commodity intelligent recommendation system based on data mining are good. It has good stability performance and achieves the goal of intelligent product recommendation.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xiaoqian Yang, Pan Jiang, and Yijia Hong "Research on commodity intelligent recommendation system based on data mining", Proc. SPIE 12918, Fourth International Conference on Computer Science and Communication Technology (ICCSCT 2023), 129181X (11 October 2023); https://doi.org/10.1117/12.3009277

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