- 专利标题: Systems and methods for calibrated location prediction
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申请号: US16726056申请日: 2019-12-23
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公开(公告)号: US11134359B2公开(公告)日: 2021-09-28
- 发明人: Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
- 申请人: xAd, Inc.
- 申请人地址: US NY New York
- 专利权人: xAd, Inc.
- 当前专利权人: xAd, Inc.
- 当前专利权人地址: US NY New York
- 代理机构: USCH Law, PC
- 主分类号: H04W4/021
- IPC分类号: H04W4/021 ; H04L29/08 ; G06N20/00 ; G06F16/29
摘要:
A system includes a machine learning module configured to train a location prediction model using features constructed from mobile device data with time stamps in a training time period, and labels extracted from mobile device data with time stamps in a training time frame. The system further includes a prediction module configured apply the prediction model to a feature set constructed using mobile device data associated with a mobile device with time stamps in a prediction time period to obtain a prediction result corresponding to the mobile device. The system further includes a calibration module configured to obtain a calibration model corresponding to an information campaign, and a calibrated prediction module configured to apply the calibration model to the prediction result to obtain a calibrated probability for the mobile device to have at least one location event at any of one or more locations associated with the information campaign during a prediction time frame.
公开/授权文献
- US20200213805A1 Systems and Methods for Calibrated Location Prediction 公开/授权日:2020-07-02
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