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公开(公告)号：US20180180431A1
公开(公告)日：2018-06-28
申请号：US15387725
申请日：2016-12-22
Applicant: Google Inc.
Inventor： Jennifer Su , Qi Zhu
CPC classification number: G01C21/3484 , G01C21/3423 , G01C21/3492 , G01C21/3617 , G01C21/3676 , G01C21/3691 , G01C21/3697 , G06Q10/1053
Abstract: Systems and methods of determining commute tolerance areas are provided. For instance, profile data associated with a user can be obtained. Transportation data associated with a geographic area can be obtained. The geographic area can be determined based at least in part on the profile data. A frequently traveled commute of the user within the geographic area can be determined based at least in part on an origin location and a destination location. The origin location and the destination location can be determined based at least in part on the profile data. A commute time associated with the frequently traveled commute can be determined based at least in part on the origin location and the destination location and the transportation data. A commute tolerance area within the geographic area can be determined based at least in part on commute time.
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公开(公告)号：US09996523B1
公开(公告)日：2018-06-12
申请号：US15391977
申请日：2016-12-28
Applicant: Google Inc.
Inventor： Jennifer Su , Christian Posse
IPC: G06F17/00 , G06F17/27 , G06F3/0482
CPC classification number: G06F17/276 , G06F3/0482
Abstract: Systems and methods for autosuggesting related objects to a user are provided. In one embodiment, a method includes receiving data indicative of a user input. The method includes identifying one or more ontologies based, at least in part, on the user input. Each ontology is associated with a category that is related to the user input. Each ontology includes a plurality of object types, each object type including one or more terms. The method includes determining one or more suggested related objects based, at least in part, on the user input and one or more of the plurality of object types. The one or more suggested related objects include one or more of the terms that are related to the user input. The method includes providing data indicative of the suggested related objects for display on a user interface via a display device.
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公开(公告)号：US10607273B2
公开(公告)日：2020-03-31
申请号：US15392059
申请日：2016-12-28
Applicant: Google Inc.
Inventor： Jennifer Su , Mark T. Rivera
Abstract: Systems and methods for providing relevant explanations for recommended content are provided. In one embodiment, a computer-implemented method includes obtaining data indicative of one or more parameters associated with a user. The method includes determining recommended content for the user based at least in part on the one or more parameters associated with the user. The recommended content is associated with a recommended engagement for the user. The method includes generating an explanation for the recommended content for the user based at least in part on the one or more parameters associated with the user. The explanation is indicative of why the recommended engagement is recommended for the user. The method includes providing data indicative of the recommended content and the explanation for the recommended content for display on a user interface via a display device.
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公开(公告)号：US20180182015A1
公开(公告)日：2018-06-28
申请号：US15392059
申请日：2016-12-28
Applicant: Google Inc.
Inventor： Jennifer Su , Mark T. Rivera
IPC: G06Q30/06
CPC classification number: G06Q30/0631
Abstract: Systems and methods for providing relevant explanations for recommended content are provided. In one embodiment, a computer-implemented method includes obtaining data indicative of one or more parameters associated with a user. The method includes determining recommended content for the user based at least in part on the one or more parameters associated with the user. The recommended content is associated with a recommended engagement for the user. The method includes generating an explanation for the recommended content for the user based at least in part on the one or more parameters associated with the user. The explanation is indicative of why the recommended engagement is recommended for the user. The method includes providing data indicative of the recommended content and the explanation for the recommended content for display on a user interface via a display device.
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