A Data-Driven Personalized Lighting Recommender System

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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Bibliographic Details
Main Authors: Atousa Zarindast , Jonathan Wood 
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-10-01
Series:Frontiers in Big Data
Subjects:
smart recommendation system
lighting
color prediction
routine recommender
personalization
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.706117/full

Internet

https://www.frontiersin.org/articles/10.3389/fdata.2021.706117/full

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