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A Data-Driven Personalized Lighting Recommender System

Recommender systems attempt to identify and recommend the most preferable item (product-service) to individual users. These systems predict user interest in items based on related items, users, and the interactions between items and users. We aim to build an auto-routine and color scheme recommender...

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Detalles Bibliográficos
Autores principales: Zarindast , Atousa, Wood , Jonathan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8552333/
https://www.ncbi.nlm.nih.gov/pubmed/34723176
http://dx.doi.org/10.3389/fdata.2021.706117