Deep transfer learning with multimodal embedding to tackle cold-start and sparsity issues in recommendation system

Recommender systems (RSs) have become increasingly vital in the modern information era and connected economy. They play a key role in business operations by generating personalized suggestions and minimizing information overload. However, the performance of traditional RSs is limited by data sparsen...

Descripción completa

Detalles Bibliográficos
Autores principales: Jafri, Syed Irteza Hussain, Ghazali, Rozaida, Javid, Irfan, Mahmood, Zahid, Hassan, Abdullahi Abdi Abubakar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410545/
https://www.ncbi.nlm.nih.gov/pubmed/36007091
http://dx.doi.org/10.1371/journal.pone.0273486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9410545/
https://www.ncbi.nlm.nih.gov/pubmed/36007091
http://dx.doi.org/10.1371/journal.pone.0273486

Ejemplares similares