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公开(公告)号:US20190130322A1
公开(公告)日:2019-05-02
申请号:US15800787
申请日:2017-11-01
Applicant: Google LLC
Inventor: Li-Sue Chen , Steve Chien , Quang Duong , Tong Wang , Xixi Wang , Ke Xu
Abstract: The wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. In response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. User feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.
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公开(公告)号:US20190340537A1
公开(公告)日:2019-11-07
申请号:US16404148
申请日:2019-05-06
Applicant: Google LLC
Inventor: Simon Fung , Dana Wilkinson , Michael Peter Mattiacci , Sarah Sachs , Tong Wang , David Chen , Marcel Uekermann , Chandrasekhar Thota , Matthew Burgess
Abstract: A personalized score for a place that a user may want to visit is computed and displayed to the user. The score is computed based on at least one of inferred or explicit parameters, using machine learning. The score may be displayed to the user in connection with the place, and in some examples explanations of the underlying factors that resulted in the score are also displayed. Because each user is unique, the score may be different for one person than for another. Accordingly, when a group of friends are deciding on a place to visit, such as a place to eat, the personalized score for a given restaurant may be higher for a first user than for a second user.
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公开(公告)号:US20240127136A1
公开(公告)日:2024-04-18
申请号:US18378399
申请日:2023-10-10
Applicant: Google LLC
Inventor: Li-Sue Chen , Steve Chien , Quang Duong , Tong Wang , Xixi Wang , Ke Xu
IPC: G06Q10/0631 , G06F17/18 , G06N5/04 , G06Q10/04 , G06Q10/109 , G06Q30/0201 , G06Q30/0202
CPC classification number: G06Q10/0631 , G06F17/18 , G06N5/04 , G06Q10/04 , G06Q10/109 , G06Q30/0201 , G06Q30/0202
Abstract: The wait time prediction technology determines expected wait times for businesses or other public services using a model generated based on at least historical wait times for the business. In response to a request from a user, an expected wait time for service at the business for at least one particular time period on a particular day of a week is determined using the model and provided for display. User feedback regarding the expected wait time may be requested, and used to refresh the model as new wait times and other information are collected.
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