Apple Inc.

Shanni A Weilert

Ashish C Nagre

Jarad M Fisher

Akila Suresh

Andrew Williams

Ryan Studelska

Aditya Rane

Andrei Makhanov

Fang Ji

Ievgeniia Gutenko

Ren Wang

Eric Circlaeys

Krishna M Behara

Kevin Bessiere

Benedikt M Hirmer

Christopher C Foster

Kartheekeya D Kasibatta

Victor Shugaev

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.

Systems and methods for resolving points of interest on maps

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.

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.

Techniques for disambiguating clustered occurrence identifiers

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San Jose, CA, United States of America

Shanni A Weilert