发明授权
- 专利标题: Neural contextual bandit based computational recommendation method and apparatus
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申请号: US18167961申请日: 2023-02-13
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公开(公告)号: US12067607B2公开(公告)日: 2024-08-20
- 发明人: Suleyman Cetintas , Xian Wu , Jian Yang
- 申请人: YAHOO ASSETS LLC
- 申请人地址: US NY New York
- 专利权人: YAHOO ASSETS LLC
- 当前专利权人: YAHOO ASSETS LLC
- 当前专利权人地址: US NY New York
- 代理机构: Greenberg Traurig
- 代理商 James J. DeCarlo
- 主分类号: G06Q30/00
- IPC分类号: G06Q30/00 ; G06F16/22 ; G06F16/901 ; G06F16/9535 ; G06N20/00 ; G06Q10/087 ; G06Q30/0204 ; G06Q30/0282 ; G06Q30/0601 ; G06Q50/00
摘要:
Disclosed are systems and methods utilizing neural contextual bandit for improving interactions with and between computers in content generating, searching, hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to make item recommendations using latent relations and latent representations, which can improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods use neural network modeling in automatic selection of a number of items for recommendation to a user and using feedback in connection with the recommendation for further training of the model(s).
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