Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model

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Bibliographic Details
Main Author: Advances in Multimedia
Format: Article
Language:English
Published: Wiley 2023-01-01
Series:Advances in Multimedia
Online Access:http://dx.doi.org/10.1155/2023/9780724
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author Advances in Multimedia
author_facet Advances in Multimedia
author_sort Advances in Multimedia
collection DOAJ
format Article
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institution DOAJ
issn 1687-5699
language English
publishDate 2023-01-01
publisher Wiley
record_format Article
series Advances in Multimedia
spelling doaj-art-cd9fb118f4ba45bfb94c4e554e8217d22025-08-20T03:04:54ZengWileyAdvances in Multimedia1687-56992023-01-01202310.1155/2023/9780724Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor ModelAdvances in Multimediahttp://dx.doi.org/10.1155/2023/9780724
spellingShingle Advances in Multimedia
Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
Advances in Multimedia
title Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
title_full Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
title_fullStr Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
title_full_unstemmed Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
title_short Retracted: Personalized Recommendation of Online Shopping Products Based on Online Fast Learning through Latent Factor Model
title_sort retracted personalized recommendation of online shopping products based on online fast learning through latent factor model
url http://dx.doi.org/10.1155/2023/9780724
work_keys_str_mv AT advancesinmultimedia retractedpersonalizedrecommendationofonlineshoppingproductsbasedononlinefastlearningthroughlatentfactormodel