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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...
Autores principales: | Su, Zhan, Yang, Haochuan, Ai, Jun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
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 |
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