Research on smart TV recommendation system based on collaborative filtering algorithm

Yanchen Zhu; Jinyuan Cao

doi:10.1117/12.2660731

3 February 2023 Research on smart TV recommendation system based on collaborative filtering algorithm

Yanchen Zhu, Jinyuan Cao

Proceedings Volume 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022); 125112N (2023) https://doi.org/10.1117/12.2660731
Event: Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 2022, Hulun Buir, China

Abstract

In today's big data environment, on the one hand, merchants hope to effectively mine the resources and information that users need and are interested in, so as to realize big data analysis and form personalized product marketing and paid services. On the other hand, how to quickly obtain the target resources according to the existing data is also a complicated problem. This paper is based on user viewing information, product information and user package data. By using the idea of collaborative filtering and classification, we can recommend products and classifications to users.

Citation Download Citation

Yanchen Zhu and Jinyuan Cao "Research on smart TV recommendation system based on collaborative filtering algorithm", Proc. SPIE 12511, Third International Conference on Computer Vision and Data Mining (ICCVDM 2022), 125112N (3 February 2023); https://doi.org/10.1117/12.2660731

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