Dynamic user profile management

Patent metadata

Field	Value
Publication number	US-12339916-B2
Application number	US-202218049083-A
Country	US
Kind code	B2
Filing date	Oct 24, 2022
Priority date	Oct 24, 2022
Publication date	Jun 24, 2025
Grant date	Jun 24, 2025

Abstract

Systems and methods for dynamic user profile management are provided. One aspect of the systems and methods includes receiving, by a lookup component, a request for a user profile; computing, by a profile component, a time-to-live (TTL) refresh value for the user profile based on a lookup history of the user profile; updating, by the profile component, a TTL value of the user profile based on the request and the TTL refresh value; storing, by the profile component, the user profile and the updated TTL value in the edge database; and removing, by the edge database, the user profile from the edge database based on the updated TTL value.

First claim

What is claimed is:

1. A method for user profile management, comprising:
receiving, by a lookup component, a request for a user profile;
computing, by a profile component, a time-to-live (TTL) refresh value for a TTL value of the user profile based on a lookup history of the user profile, wherein the TTL value identifies a period of time for storing the user profile in a database before being discarded and the TTL refresh value indicates a frequency for updating the TTL value, and wherein the TTL value is determined based on the TTL refresh value;
updating, by the profile component, the TTL value of the user profile based on the request and the TTL refresh value;
storing, by the profile component, the user profile and the updated TTL value in the database; and
removing, by the database, the user profile from the database based on the updated TTL value.

2. The method of claim 1 , further comprising:
determining, by the profile component, a lookup time interval for user profile based on the lookup history, wherein the TTL refresh value is based on the lookup time interval.

3. The method of claim 2 , further comprising:
identifying, by the profile component, a distribution of lookup time intervals;
determining, by the profile component, a length of each of the lookup time intervals; and
comparing, by the profile component, the length of each of the lookup time intervals to the distribution of lookup time intervals, wherein the TTL refresh value is based on the comparison.

4. The method of claim 1 , further comprising:
identifying, by the profile component, a lookup time interval threshold; and
comparing, by the profile component, the lookup time interval to the lookup time interval threshold, wherein the TTL refresh value is based on the comparison.

5. The method of claim 4 , further comprising:
identifying, by the profile component, historical access data, wherein the lookup time interval threshold is based on the historical access data.

6. A method for user profile management, comprising:
receiving, by a lookup component, a lookup history for a user profile;
computing, by a profile component, a time-to-live (TTL) refresh value for a TTL value of the user profile based on the lookup history, wherein the TTL value identifies a period of time for storing the user profile in a database before being discarded and the TTL refresh value indicates a frequency for updating the TTL value, and wherein the TTL value is determined based on the TTL refresh value; and
providing, by the profile component, the TTL refresh value to a database.

7. The method of claim 6 , further comprising:
determining, by the profile component, a lookup time interval for user profile based on the lookup history, wherein the TTL refresh value is based on the lookup time interval.

8. The method of claim 7 , further comprising:
identifying, by the profile component, a distribution of lookup time intervals;
determining, by the profile component, a length of each of the lookup time intervals; and
comparing, by the profile component, the length of each of the lookup time intervals to the distribution of lookup time intervals, wherein the TTL refresh value is based on the comparison.

9. The method of claim 7 , further comprising:
identifying, by the profile component, a lookup time interval threshold; and
comparing, by the profile component, the lookup time interval to the lookup time interval threshold, wherein the TTL refresh value is based on the comparison.

10. The method of claim 9 , further comprising:
identifying, by the profile component, historical access data, wherein the lookup time interval threshold is based on the historical access data.

11. The method of claim 6 , further comprising:
updating, by the profile component, the user profile with the TTL refresh value; and
providing, by the profile component, the updated user profile to the edge database.

12. The method of claim 6 , further comprising:
receiving, by the lookup component, a request for the user profile; and
updating, by the profile component, the TTL value of the user profile based on the request and the TTL refresh value.

13. The method of claim 12 , further comprising:
providing, by the profile component, the user profile and the updated TTL value to the database; and
removing the user profile from the database based on the updated TTL value.

14. An apparatus for user profile management, comprising:
a processor;
a memory storing instructions executable by the processor;
a lookup component configured to receive a lookup history for a user profile;
a profile component configured to compute time-to-live (TTL) refresh value for a TTL value of the user profile based on the lookup history, wherein the TTL value identifies a period of time for storing the user profile in a database before being discarded and the TTL refresh value indicates a frequency for updating the TTL value, and wherein the TTL value is determined based on the TTL refresh value; and
a database configured to store the TTL refresh value.

15. The apparatus of claim 14 , wherein:
the profile component is further configured to determine a lookup time interval for user profile based on the lookup history, wherein the TTL refresh value is based on the lookup time interval.

16. The apparatus of claim 15 , wherein:
the profile component is further configured to identify a distribution of lookup time intervals, to determine a length of each of the lookup time intervals, and to compare the length of each of the lookup time intervals to the distribution of lookup time intervals, wherein the TTL refresh value is based on the comparison.

17. The apparatus of claim 15 , wherein:
the profile component is further configured to identify a lookup time interval threshold and to compare the lookup time interval to the lookup time interval threshold, wherein the TTL refresh value is based on the comparison.

18. The apparatus of claim 14 , wherein:
the profile component is further configured to update the user profile with the TTL refresh value; and
the database is further configured to store the updated user profile.

19. The apparatus of claim 14 , wherein:
the lookup component is further configured to receive a request for the user profile; and
the profile component is further configured to update the TTL value of the user profile based on the request and the TTL refresh value.

20. The apparatus of claim 19 , wherein:
the database is further configured to store the user profile and the updated TTL value and to remove the user profile from the database based on the updated TTL value.

Assignees

• Adobe Inc

Inventors

• Ng Nathan
• Mai Tung
• Greger Thomas
• Nicholes Kelly Quinn
• Cuevas Antonio
• Mitra Saayan
• Sarkhel Somdeb
• Rao Anup Bandigadi
• Rossi Ryan A
• Swaminathan Viswanathan
• Vaithyanathan Shivakumar

Classifications

• H04L67/306 Primary

  User profiles · CPC title

• G06F16/9535 Primary

  Search customisation based on user profiles and personalisation · CPC title