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- W4361799498 abstract "With the advent of the era of AI, the continuous development of the Internet and the rapid development of e-commerce, the personalized e-commerce recommendation system as a part of e-commerce has also attracted more and more attention from enterprises. The personalized e-commerce recommendation system focuses on recommendation algorithms, which will enable many researchers at home and abroad to concentrate on the study of recommendation algorithms. This paper aims to study the business personalized automatic recommendation algorithm based on AI technology. On the basis of analyzing the personalized recommendation technology, the collaborative filtering algorithm is optimized for the data sparsity, scalability, cold start and other problems of the collaborative filtering algorithm. And the performance of the improved algorithm was tested experimentally. The experimental results show that the algorithm improved in the paper produces the best recommendation effect, and the error value is always smaller than the others, which also verifies that the optimized algorithm in this paper is reasonable." @default.
- W4361799498 created "2023-04-05" @default.
- W4361799498 creator A5075318877 @default.
- W4361799498 date "2023-01-01" @default.
- W4361799498 modified "2023-09-27" @default.
- W4361799498 title "Business Personalized Automatic Recommendation Algorithm Based on AI Technology" @default.
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- W4361799498 doi "https://doi.org/10.1007/978-3-031-28893-7_41" @default.
- W4361799498 hasPublicationYear "2023" @default.
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