Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
In order to improve the personalized recommendation effect of online shopping products, this article combines online fast learning through latent factor model to construct a personalized virtual planning recommendation system for online shopping products. Moreover, this article improves on the ONMTF...
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Main Author: | Meng Shi |
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Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
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Series: | Advances in Multimedia |
Online Access: | http://dx.doi.org/10.1155/2022/9292874 |
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