- 专利标题: Systems and methods for benefit affinity using trained affinity models
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申请号: US18104123申请日: 2023-01-31
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公开(公告)号: US12020276B1公开(公告)日: 2024-06-25
- 发明人: Aysenur Inan , Keerthi Gopalakrishnan , Rahul Radhakrishnan Iyer , Sneha Gupta , Divya Chaganti , Yokila Arora , Kamilia Ahmadi , Hyun Duk Cho , Sushant Kumar , Kannan Achan
- 申请人: Walmart Apollo, LLC
- 申请人地址: US AR Bentonville
- 专利权人: Walmart Apollo, LLC
- 当前专利权人: Walmart Apollo, LLC
- 当前专利权人地址: US AR Bentonville
- 代理机构: Morgan, Lewis & Bockius LLP
- 代理商 Manita Rawat
- 主分类号: G06Q30/02
- IPC分类号: G06Q30/02 ; G06Q30/0204 ; G06Q30/0207
摘要:
Systems and methods utilizing a classification model and a ranking model are disclosed. A user identifier is received and a user profile is generated. The user profile includes a plurality of user features. The user profile is classified into a classification using a trained classification model. The trained classification model receives a first subset of the plurality of user features. A set of communication elements is ranked using a trained ranking model. The trained ranking model receives a second subset of the plurality of user features. An electronic communication including a plurality of interface elements is generated. The plurality of interface elements includes at least one communication element selected from the ranked set of communication elements in descending ranked order. A type of the electronic communication is selected based on the classification of the user profile.
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