Optimization of Recommender Systems Using Particle Swarms

Optimization of Recommender Systems Using Particle Swarms

Background: Recommender systems are one of the most widely used technologies by electronic businesses and internet applications as part of their strategies to improve customer experiences and boost sales. Recommender systems aim to suggest content based on its characteristics and on user preferences...

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Bibliographic Details
Main Authors:	Nancy Yaneth Gelvez Garcia, Jesús Gil-Ruíz, Jhon Fredy Bayona-Navarro
Format:	Article
Language:	Spanish
Published:	Universidad Distrital Francisco José de Caldas 2023-02-01
Series:	Ingeniería
Subjects:	unsupervised systems recommender systems optimization using particle swarm collaborative filters
Online Access:	https://revistas.udistrital.edu.co/index.php/reving/article/view/19925

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