Novel Multidimensional Collaborative Filtering Algorithm Based on Improved Item Rating Prediction

Current data has the characteristics of complexity and low information density, which can be called the information sparse data. However, a large amount of data makes it difficult to analyse sparse data with traditional collaborative filtering recommendation algorithms, which may lead to low accurac...

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Auteurs principaux: Tongyan Li, Yingxiang Li, Chen Yi-Ping Phoebe
Format: article
Langue:EN
Publié: Hindawi Limited 2021
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Accès en ligne:https://doaj.org/article/d8398f96965444fcb55190d7cdfb23b2
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