Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm

Bibliographic Details
Main Author: null Complexity
Format: Article
Language:English
Published: Hindawi-Wiley 2024-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2024/9810192
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author_facet null Complexity
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spelling doaj.art-72b452f42a8b45fc80b15e709e7b6a5b2024-02-01T00:05:19ZengHindawi-WileyComplexity1099-05262024-01-01202410.1155/2024/9810192Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithmnull Complexityhttp://dx.doi.org/10.1155/2024/9810192
spellingShingle null Complexity
Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
Complexity
title Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
title_full Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
title_fullStr Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
title_full_unstemmed Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
title_short Retracted: Optimization of the Hybrid Movie Recommendation System Based on Weighted Classification and User Collaborative Filtering Algorithm
title_sort retracted optimization of the hybrid movie recommendation system based on weighted classification and user collaborative filtering algorithm
url http://dx.doi.org/10.1155/2024/9810192
work_keys_str_mv AT nullcomplexity retractedoptimizationofthehybridmovierecommendationsystembasedonweightedclassificationandusercollaborativefilteringalgorithm