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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...
Autores principales: | Zhang, Xianrong, Li, Ran, Wang, Simin, Li, Xintong, Sun, Zhe |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
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 |
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