Modeling and Applying Implicit Dormant Features for Recommendation via Clustering and Deep Factorization

E-commerce systems experience poor quality of performance when the number of records in the customer database increases due to the gradual growth of customers and products. Applying implicit hidden features into the recommender system (RS) plays an important role in enhancing its performance due to...

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Detalles Bibliográficos
Autores principales: Kutlimuratov, Alpamis, Abdusalomov, Akmalbek Bobomirzaevich, Oteniyazov, Rashid, Mirzakhalilov, Sanjar, Whangbo, Taeg Keun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654534/
https://www.ncbi.nlm.nih.gov/pubmed/36365921
http://dx.doi.org/10.3390/s22218224

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654534/
https://www.ncbi.nlm.nih.gov/pubmed/36365921
http://dx.doi.org/10.3390/s22218224

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