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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...
Autores principales: | Tang, Yu, Wang, Sheng, Huang, Yuancai, Zhao, Xiaokai, Zhao, Weinan, Duan, Yitao, Wang, Xu |
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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/PMC9699740/ https://www.ncbi.nlm.nih.gov/pubmed/36438690 http://dx.doi.org/10.1155/2022/1105048 |
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