Optimization of Recommender Systems Using Particle Swarms
Background: ecommender 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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| Published in: | Ingeniería |
|---|---|
| Main Authors: | , , |
| Format: | Artigo |
| Language: | Inglês |
| Published: |
Universidad Distrital Francisco José de Caldas
2023
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| Subjects: | |
| Online Access: | https://www.redalyc.org/articulo.oa?id=498875061008 https://www.redalyc.org/journal/4988/498875061008/ https://www.redalyc.org/journal/4988/498875061008/html/ https://www.redalyc.org/journal/4988/498875061008/498875061008.epub https://www.redalyc.org/journal/4988/498875061008/movil |
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