Artificial intelligence-based data processing method and apparatus, and storage medium
CN113723658BActive Publication Date: 2026-08-28TENCENT TECHNOLOGY (SHENZHEN) CO LTD
Patent Information
- Application Number
- CN202110373768.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-04-07
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2041-04-07
AI Technical Summary
Technical Problem
[0002]现有技术在评估不同内容或商品对业务指标的影响时，不同内容或商品对应的用户行为记录可能是在推荐系统的干预下得到的，由于选择性偏差问题，无法真实的反映出该内容或商品在业务指标的收益信息
Benefits of technology
[0021]本申请通过获取目标应用程序中的目标对象，确定所述目标对象对应的业务指标的第一干预值和第二干预值；并将所述目标对象的用户特征以及所述第一干预值输入收益信息预测模型，得到所述目标对象对应的第一收益信息；再根据所述目标对象对应的所述第一收益信息以及所述第二收益信息，确定所述目标对象对应的综合收益信息。本申请通过第一干预值和第二干预值表征目标对象的业务指标受干预和不受干预两种情况，并基于此得到两种情况下的收益信息，再得出目标对象的综合收益信息，使得该综合收益信息能够准确地表征目标对象对业务指标的影响，因而当利用对象的综合收益信息用于进行对象推荐时，也能获得更高的推荐准确率；本申请的技术方案克服了由对象推荐模型的干预导致的收益信息偏差问题，能够准确得出目标对象对业务指标的影响大小，提高了目标对象对应的综合收益信息的预测准确率。
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Figure CN113723658B_ABST
Abstract
The application discloses an artificial intelligence-based data processing method and device and a storage medium, relates to the technical field of data processing, and comprises the following steps: acquiring a target object in a target application; determining an intervention parameter of a business index corresponding to the target object, wherein the intervention parameter comprises a first intervention value and a second intervention value; inputting user characteristics of the target object and the first intervention value into a revenue information prediction model to obtain first revenue information corresponding to the target object; inputting the user characteristics and the second intervention value into the revenue information prediction model to obtain second revenue information corresponding to the target object; and determining comprehensive revenue information corresponding to the target object according to the first revenue information and the second revenue information corresponding to the target object. The application constructs a revenue information prediction model through machine learning, and improves the prediction accuracy of the comprehensive revenue information corresponding to the target object.
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Citation Information
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