发明公开
- 专利标题: CONTENT RECOMMENDATION BASED UPON CONTINUITY AND GROUPING INFORMATION OF ATTRIBUTES
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申请号: US18674532申请日: 2024-05-24
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公开(公告)号: US20240311662A1公开(公告)日: 2024-09-19
- 发明人: Alexander Shtof , Yair Koren , Yohay Kaplan
- 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
- 主分类号: G06N5/04
- IPC分类号: G06N5/04 ; G06F16/23 ; G06F16/2457 ; G06N5/02 ; G06N20/00 ; G06Q30/0201
摘要:
One or more computing devices, systems, and/or methods for content recommendation based upon continuity and grouping information of attributes are provided herein. User interaction data specifying whether users interacted with content items, user attributes of the users, and content attributes of the content items is obtained. A data structure is populated with the user interaction data. The data structure is modified by inserting a set of sub-fields into the data structure for a user attribute. A sub-field is populated with a value representing an option of the user attribute. The set of sub-fields are an encoding of continuity information and grouping information representing options for the user attribute. The data structure is processed using machine learning functionality to generate a model. The model is utilized to generate a prediction as to whether a user will interact with a content item.
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