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公开(公告)号：US11134359B2
公开(公告)日：2021-09-28
申请号：US16726056
申请日：2019-12-23
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
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.
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2.发明授权公开(公告)号：US11146911B2
公开(公告)日：2021-10-12
申请号：US16749746
申请日：2020-01-22
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
摘要： A system includes a machine learning module configured to train a location prediction model for an information campaign, a front-end server configured to receive and process information requests, and a prediction unit. During the information campaign, the prediction unit is configured to use the location prediction model to predict a conversion probability for any particular mobile device associated with a qualified information request received during any respective time unit. The conversion probability corresponds to a predicted probability of the particular mobile device having at least one location event at any of one or more POIs during a particular time frame. The front-end server is further configured to determine a respective target number of conversions to be achieved by the information campaign during the respective time unit, and to determine a response to the particular information request based at least in part on the conversion probability and on the respective target number of conversions.
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公开(公告)号：US20200213805A1
公开(公告)日：2020-07-02
申请号：US16726056
申请日：2019-12-23
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
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.
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4.发明申请公开(公告)号：US20200162841A1
公开(公告)日：2020-05-21
申请号：US16749746
申请日：2020-01-22
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
摘要： A system includes a machine learning module configured to train a location prediction model for an information campaign, a front-end server configured to receive and process information requests, and a prediction unit. During the information campaign, the prediction unit is configured to use the location prediction model to predict a conversion probability for any particular mobile device associated with a qualified information request received during any respective time unit. The conversion probability corresponds to a predicted probability of the particular mobile device having at least one location event at any of one or more POIs during a particular time frame. The front-end server is further configured to determine a respective target number of conversions to be achieved by the information campaign during the respective time unit, and to determine a response to the particular information request based at least in part on the conversion probability and on the respective target number of conversions.
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公开(公告)号：US11743679B2
公开(公告)日：2023-08-29
申请号：US17517650
申请日：2021-11-02
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
摘要： Described herein are system and method for pacing information delivery to mobile devices. The method comprises, for each respective request of a first plurality of requests received during a time unit that qualifies for information delivery, predicting a respective conversion probability corresponding to a predicted probability of a mobile device associated with the respective request having at least one location event at any of one or more POIs during a time frame corresponding to the time unit. The method further comprises placing a bid for fulfilling the respective request based on the respective conversion probability and a bidding model, determining a set of predicted numbers of conversions corresponding, respectively, to a set of ranges of predicted conversion probabilities for a first number of fulfilled requests corresponding to the time unit, and adjusting the bidding model based at least on the predicted number of conversions.
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公开(公告)号：US20220060847A1
公开(公告)日：2022-02-24
申请号：US17517650
申请日：2021-11-02
申请人： xAd, Inc.
发明人： Can Liang , Yilin Chen , Jingqi Huang , Shun Jiang , Amit Goswami
摘要： Described herein are system and method for pacing information delivery to mobile devices. The method comprises, for each respective request of a first plurality of requests received during a time unit that qualifies for information delivery, predicting a respective conversion probability corresponding to a predicted probability of a mobile device associated with the respective request having at least one location event at any of one or more POIs during a time frame corresponding to the time unit. The method further comprises placing a bid for fulfilling the respective request based on the respective conversion probability and a bidding model, determining a set of predicted numbers of conversions corresponding, respectively, to a set of ranges of predicted conversion probabilities for a first number of fulfilled requests corresponding to the time unit, and adjusting the bidding model based at least on the predicted number of conversions.
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