Systems and methods for resolving points of interest on maps

Patent metadata

Field	Value
Publication number	US-11698269-B2
Application number	US-202016828929-A
Country	US
Kind code	B2
Filing date	Mar 24, 2020
Priority date	Mar 24, 2019
Publication date	Jul 11, 2023
Grant date	Jul 11, 2023

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.

First claim

The invention claimed is:

1. A non-transitory computer-readable medium having stored thereon a sequence of instructions that, when executed by a processor of a computing device, causes the computing device to:
receive a notification of a transaction using an account associated with a mobile device, the notification also including transaction metadata;
determine a transaction type based at least in a part on whether the transaction is made via a payment application or via a physical card, the transaction type identified in the transaction metadata; and
in accordance with a determination that the transaction type identifies the transaction was made via the physical card:
identify a difference between the transaction metadata and metadata associated with a point-of-interest based at least in part on the determination that the transaction is made via the physical card;
update map application user interface information to identify the difference between the transaction metadata and the metadata associated with the point-of-interest; and
transmit the updated map application user interface information to a map application of the mobile device.

2. The non-transitory computer-readable medium of claim 1 , further comprising instructions which when executed, causes the computing device to:
validate metadata associated with the at least one point-of-interest based at least in part on the transaction metadata, wherein the metadata associated with the at least one point-of-interest is stored at an application server.

3. The non-transitory computer-readable medium of claim 1 , further comprising instructions which when executed, causes the computing device to:
receive a plurality of transactions and associated transaction metadata, including the transaction using the account associated with the mobile device;
cluster the plurality of transactions into one or more subset clusters;
identify a center point transaction for each of the one or more subset clusters; and
reduce the one or more subset clusters based at least in part on a comparison of metadata of the center point transaction and transaction metadata of the subset of the plurality of transactions.

4. The non-transitory computer-readable medium of claim 3 , wherein the plurality of transactions are clustered by location.

5. The non-transitory computer-readable medium of claim 3 , further comprising instructions which when executed, causes the computing device to:
subsequent to the clustering, geo-hash the plurality of transactions based at least in part on the respective associated transaction metadata.

6. The non-transitory computer-readable medium of claim 1 , wherein identifying the difference between the transaction metadata and the metadata associated with the point-of-interest comprises:
determining a first category type identified in the transaction metadata based at least in part on the determination that the transaction is made via the physical card;
determining a second category type identified in the metadata associated with the point-of-interest; and
identifying a difference between the first category type identified in the transaction metadata and the second category type identified in the metadata associated with the point-of-interest.

7. A system comprising:
at least one processor; and
at least one memory storing instructions which, when executed by the at least one processor, cause the at least one processor to:
receive a notification of a transaction using an account associated with a mobile device, the notification also including transaction metadata;
determine a transaction type based at least in part on whether the transaction is made via a payment application or via a physical card, the transaction type identified in the transaction metadata; and
in accordance with a determination that the transaction type identifies the transaction was made via the physical card:
identify a difference between the transaction metadata and metadata associated with a point-of-interest based at least in part on the determination that the transaction is made via the physical card;
update map application user interface information to identify the difference between the transaction metadata and the metadata associated with the point-of-interest; and
transmit the updated map application user interface information to a map application of the mobile device.

8. The system of claim 7 , wherein the memory further comprising instructions which when executed, causes the at least one processor to:
validate metadata associated with the at least one point-of-interest based at least in part on the transaction metadata, wherein the metadata associated with the at least one point-of-interest is stored at an application server.

9. The system of claim 7 , wherein the memory further comprising instructions which when executed, causes the at least one processor to:
receive a plurality of transactions and associated transaction metadata, including the transaction using the account associated with the mobile device;
cluster the plurality of transactions into one or more subset clusters;
identify a center point transaction for each of the one or more subset clusters; and
reduce the one or more subset clusters based at least in part on a comparison of metadata of the center point transaction and transaction metadata of the subset of the plurality of transactions.

10. The system of claim 9 , wherein the plurality of transactions are clustered by location.

11. The system of claim 9 , wherein the memory further comprising instructions which when executed, causes the at least one processor to:
subsequent to the clustering, geo-hash the plurality of transactions based at least in part on the respective associated transaction metadata.

12. The system of claim 7 , wherein identifying the difference between the transaction metadata and the metadata associated with the point-of-interest comprises:
determining a first category type identified in the transaction metadata based at least in part on the determination that the transaction is made via the physical card;
determining a second category type identified in the metadata associated with the point-of-interest; and
identifying a difference between the first category type identified in the transaction metadata and the second category type identified in the metadata associated with the point-of-interest.

13. A method comprising:
receiving a notification of a transaction using an account associated with a mobile device, the notification also including transaction metadata;
determining a transaction type based at least in part on whether the transaction is made via a payment application or via a physical card, the transaction type identified in the transaction metadata; and
in accordance with a determination that the transaction type identifies the transaction was made via a physical card:
identifying a difference between the transaction metadata and metadata associated with a point-of-interest based at least in part on the determination that the transaction is made via the physical card;
updating map application user interface information to identify the difference between the transaction metadata and the metadata associated with the point-of-interest; and
transmitting the updated map application user interface information to a map application of the mobile device.

14. The method of claim 13 , further comprising:
validating metadata associated with the at least one point-of-interest based at least in part on the transaction metadata, wherein the metadata associated with the at least one point-of-interest is stored at an app

Assignees

• Apple Inc

Inventors

• Weilert Shanni A
• Studelska Ryan
• Wang Ren
• Gutenko Ievgeniia
• Ji Fang
• Makhanov Andrei
• Rane Aditya
• Fisher Jarad M
• SURESH Akila
• Nagre Ashish C
• Williams Andrew
• Shugaev Victor

Classifications

• G06N20/00

  Machine learning · CPC title

• G01C21/362

  received from an external device or application, e.g. PDA, mobile phone or calendar application · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• G01C21/32

  Structuring or formatting of map data · CPC title

• G01C21/3679 Primary

  Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities (G01C21/3611 takes precedence) · CPC title