TAFM: A Recommendation Algorithm Based on Text-Attention Factorization Mechanism

The click-through rate (CTR) prediction task is used to estimate the probabilities of users clicking on recommended items, which are extremely important in recommender systems. Recently, the deep factorization machine (DeepFM) algorithm was proposed. The DeepFM algorithm incorporates a factorization...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Xianrong, Li, Ran, Wang, Simin, Li, Xintong, Sun, Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444371/
https://www.ncbi.nlm.nih.gov/pubmed/36072720
http://dx.doi.org/10.1155/2022/1775496

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9444371/
https://www.ncbi.nlm.nih.gov/pubmed/36072720
http://dx.doi.org/10.1155/2022/1775496

Ejemplares similares