Retrieval-Based Factorization Machines for Human Click Behavior Prediction

Human click behavior prediction is crucial for recommendation scenarios such as online commodity or advertisement recommendation, as it is helpful to improve the quality and user satisfaction of services. In recommender systems, the concept of click-through rate (CTR) is used to estimate the probabi...

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Detalles Bibliográficos
Autores principales: Tang, Yu, Wang, Sheng, Huang, Yuancai, Zhao, Xiaokai, Zhao, Weinan, Duan, Yitao, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699740/
https://www.ncbi.nlm.nih.gov/pubmed/36438690
http://dx.doi.org/10.1155/2022/1105048

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9699740/
https://www.ncbi.nlm.nih.gov/pubmed/36438690
http://dx.doi.org/10.1155/2022/1105048

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