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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...
Autores principales: | Zarindast , Atousa, Wood , Jonathan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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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 |
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