FPLV: Enhancing recommender systems with fuzzy preference, vector similarity, and user community for rating prediction

Rating prediction is crucial in recommender systems as it enables personalized recommendations based on different models and techniques, making it of significant theoretical importance and practical value. However, presenting these recommendations in the form of lists raises the challenge of improvi...

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Detalles Bibliográficos
Autores principales: Su, Zhan, Yang, Haochuan, Ai, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461840/
https://www.ncbi.nlm.nih.gov/pubmed/37639436
http://dx.doi.org/10.1371/journal.pone.0290622

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461840/
https://www.ncbi.nlm.nih.gov/pubmed/37639436
http://dx.doi.org/10.1371/journal.pone.0290622

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