An integrated model for evaluation of big data challenges and analytical methods in recommender systems

The study aimed to present an integrated model for evaluation of big data (BD) challenges and analytical methods in recommender systems (RSs). The proposed model used fuzzy multi-criteria decision making (MCDM) which is a human judgment-based method for weighting of RSs’ properties. Human judgment i...

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Detalles Bibliográficos
Autores principales: Asemi, Adeleh, Asemi, Asefeh, Ko, Andrea, Alibeigi, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802250/
https://www.ncbi.nlm.nih.gov/pubmed/35127333
http://dx.doi.org/10.1186/s40537-022-00560-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8802250/
https://www.ncbi.nlm.nih.gov/pubmed/35127333
http://dx.doi.org/10.1186/s40537-022-00560-z

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