公开(公告)号：US20240027221A1

公开(公告)日：2024-01-25

申请号：US18200254

申请日：2023-05-22

Applicant: Apple Inc.

Inventor： Shanni A. Weilert ,  Ryan Studelska ,  Ren Wang ,  Ievgeniia Gutenko ,  Fang Ji ,  Andrei Makhanov ,  Aditya Rane ,  Jarad M. Fisher ,  Akila Suresh ,  Ashish C. Nagre ,  Andrew Williams ,  Victor Shugaev

IPC: G01C21/36 ,  G01C21/32 ,  G01C21/34 ,  G06N20/00

CPC classification number: G01C21/3679 ,  G01C21/32 ,  G01C21/3484 ,  G06N20/00 ,  G01C21/362

Abstract: The present technology improves points-of-interest (POIs) in applications by the gathering and use of data available from various sources to improve metadata of POIs in applications (e.g., map applications) or any other metadata or information that may be of interest to a user regarding any given POI. The present technology resolves transactions to POIs or Brands (in a map application, for example) and improves, updates, creates, and removes POls/Brands. The present technology can also gain a clear name, granular and correct categorization, a URL, phone/chat contact info, etc. of the transactions.

公开(公告)号：US11698269B2

公开(公告)日：2023-07-11

申请号：US16828929

申请日：2020-03-24

Applicant: Apple Inc.

Inventor： Shanni A. Weilert ,  Ryan Studelska ,  Ren Wang ,  Ievgeniia Gutenko ,  Fang Ji ,  Andrei Makhanov ,  Aditya Rane ,  Jarad M. Fisher ,  Akila Suresh ,  Ashish C. Nagre ,  Andrew Williams ,  Victor Shugaev

IPC: G01C21/36 ,  G01C21/32 ,  G01C21/34 ,  G06N20/00

CPC classification number: G01C21/3679 ,  G01C21/32 ,  G01C21/3484 ,  G01C21/362 ,  G06N20/00

Abstract: The present technology improves points-of-interest (POIs) in applications by the gathering and use of data available from various sources to improve metadata of POIs in applications (e.g., map applications) or any other metadata or information that may be of interest to a user regarding any given POI. The present technology resolves transactions to POIs or Brands (in a map application, for example) and improves, updates, creates, and removes POIs/Brands. The present technology can also gain a clear name, granular and correct categorization, a URL, phone/chat contact info, etc. of the transactions.

公开(公告)号：US10803135B2

公开(公告)日：2020-10-13

申请号：US16219661

申请日：2018-12-13

Applicant: Apple Inc.

Inventor： Benedikt M. Hirmer ,  Kevin Bessiere ,  Eric Circlaeys ,  Shanni A. Weilert ,  Christopher C. Foster ,  Krishna M. Behara ,  Kartheekeya D. Kasibatta

IPC: G06F16/30 ,  G06F16/9537 ,  G06F16/907 ,  G06F16/9035 ,  G06F16/906

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for disambiguating clustered occurrence identifiers. Digital assets contain a plurality of metadata that can be used to identify the occurrence or event during which the digital asset was captured. Techniques can use various types contextual information based on a category of the digital asset for disambiguation. Events can occur at various locations, over a dispersed area and it can be challenging to automatically identify and label the digital assets with the identification of the event. Automatically labelling the digital assets assists user in organizing and sharing the digital assets with friends and family. Users can search for events by event name, performer name, and category.

公开(公告)号：US20200081931A1

公开(公告)日：2020-03-12

申请号：US16219661

申请日：2018-12-13

Applicant: Apple Inc.

Inventor： Benedikt M. Hirmer ,  Kevin Bessiere ,  Eric Circlaeys ,  Shanni A. Weilert ,  Christopher C. Foster ,  Krishna M. Behara ,  Kartheekeya D. Kasibatta

IPC: G06F16/9537 ,  G06F16/906 ,  G06F16/9035 ,  G06F16/907

Abstract: Embodiments of the present disclosure present devices, methods, and computer readable medium for disambiguating clustered occurrence identifiers. Digital assets contain a plurality of metadata that can be used to identify the occurrence or event during which the digital asset was captured. Techniques can use various types contextual information based on a category of the digital asset for disambiguation. Events can occur at various locations, over a dispersed area and it can be challenging to automatically identify and label the digital assets with the identification of the event. Automatically labelling the digital assets assists user in organizing and sharing the digital assets with friends and family. Users can search for events by event name, performer name, and category.