DaGzang: a synthetic data generator for cross-domain recommendation services

Research on cross-domain recommendation systems (CDRS) has shown efficiency by leveraging the overlapping associations between domains in order to generate more encompassing user models and better recommendations. Nonetheless, if there is no dataset belonging to a specific domain, it is a challenge...

Descripción completa

Detalles Bibliográficos
Autores principales: Nguyen, Luong Vuong, Vo, Nam D., Jung, Jason J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2023
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280434/
https://www.ncbi.nlm.nih.gov/pubmed/37346525
http://dx.doi.org/10.7717/peerj-cs.1360

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280434/
https://www.ncbi.nlm.nih.gov/pubmed/37346525
http://dx.doi.org/10.7717/peerj-cs.1360

Ejemplares similares