Word Sequential Using Deep LSTM and Matrix Factorization to Handle Rating Sparse Data for E-Commerce Recommender System

Recommender systems are essential engines to deliver product recommendations for e-commerce businesses. Successful adoption of recommender systems could significantly influence the growth of marketing targets. Collaborative filtering is a type of recommender system model that uses customers' ac...

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Detalles Bibliográficos
Autores principales: Hanafi, Mohd Aboobaider, Burhanuddin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670980/
https://www.ncbi.nlm.nih.gov/pubmed/34917141
http://dx.doi.org/10.1155/2021/8751173

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8670980/
https://www.ncbi.nlm.nih.gov/pubmed/34917141
http://dx.doi.org/10.1155/2021/8751173

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