Invention Application
- Patent Title: RECOMMENDATION MODEL TRAINING METHOD, SELECTION PROBABILITY PREDICTION METHOD, AND APPARATUS
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Application No.: US17691843Application Date: 2022-03-10
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Publication No.: US20220198289A1Publication Date: 2022-06-23
- Inventor: Huifeng Guo , Jinkai Yu , Qing Liu , Ruiming Tang , Xiuqiang He
- Applicant: HUAWEI TECHNOLOGIES CO., LTD.
- Applicant Address: CN Shenzhen
- Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee: HUAWEI TECHNOLOGIES CO., LTD.
- Current Assignee Address: CN Shenzhen
- Priority: CN201910861011.1 20190911
- Main IPC: G06N5/02
- IPC: G06N5/02 ; G06N5/04

Abstract:
A recommendation model training method, a selection probability prediction method, and an apparatus are provided. The training method includes obtaining a training sample, where the training sample includes a sample user behavior log, position information of a sample recommended object, and a sample label. The training method further includes performing joint training on a position aware model and a recommendation model by the training sample, to obtain a trained recommendation model, where the position aware model predicts probabilities that a user pays attention to a target recommended object when the target recommended object is at different positions, and the recommendation model predicts, when the user pays attention to the target recommended object, a probability that the user selects the target recommended object.
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