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公开(公告)号：US20230049669A1
公开(公告)日：2023-02-16
申请号：US17403400
申请日：2021-08-16
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Wa Yuan , Ganesh Krishnan , Qianyi Hu , Aishwarya Balachander , George Ruan , Soren Zeliger , Mike Freimer , Aman Jain
Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
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公开(公告)号：US11574325B1
公开(公告)日：2023-02-07
申请号：US17403400
申请日：2021-08-16
Applicant: Maplebear Inc.
Inventor： Wa Yuan , Ganesh Krishnan , Qianyi Hu , Aishwarya Balachander , George Ruan , Soren Zeliger , Mike Freimer , Aman Jain
Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
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公开(公告)号：US12008590B2
公开(公告)日：2024-06-11
申请号：US18149646
申请日：2023-01-03
Applicant: Maplebear Inc.
Inventor： Wa Yuan , Ganesh Krishnan , Qianyi Hu , Aishwarya Balachander , George Ruan , Soren Zeliger , Mike Freimer , Aman Jain
IPC: G06Q30/02 , G06N3/084 , G06Q10/0631 , G06Q10/087 , G06Q30/0201 , G06Q30/0202 , G06Q30/0601
CPC classification number: G06Q30/0202 , G06N3/084 , G06Q10/06312 , G06Q10/087 , G06Q30/0201 , G06Q30/0607 , G06Q30/0633
Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
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公开(公告)号：US20230153847A1
公开(公告)日：2023-05-18
申请号：US18149646
申请日：2023-01-03
Applicant: Maplebear Inc. (dba Instacart)
Inventor： Wa Yuan , Ganesh Krishnan , Qianyi Hu , Aishwarya Balachander , George Ruan , Soren Zeliger , Mike Freimer , Aman Jain
IPC: G06Q30/0202 , G06N3/084 , G06Q30/0201 , G06Q30/0601 , G06Q10/087 , G06Q10/0631
CPC classification number: G06Q30/0202 , G06N3/084 , G06Q30/0201 , G06Q30/0633 , G06Q10/087 , G06Q30/0607 , G06Q10/06312
Abstract: An online concierge system trains a machine learning conversion model that predicts a probability of receiving an order from a user when the user accesses the online concierge system. The conversion model predicts the probability of receiving the order based on a set of input features that include price and availability information. For each access to the online concierge system, the online concierge system applies the conversion model to a current price and availability and to an optimal price availability. The online concierge system generates a metric as the difference between the two predicted probabilities of receiving an order.
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