IP Library › Granted Patent US 11,599,585
Granted Patent B2
US 11,599,585 · App. 16/885,695 · Granted Mar 7, 2023

Cookieless delivery of personalized content

Inventors: Muralidhar Krishnaprasad (Seattle, WA); Kristen Chapman (Hopedale, MA)
Assignee: Salesforce, Inc.
G06F16/951G06F16/9024G06F16/9535G06F16/9574
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Quick Facts
Patent No.
US 11,599,585
App. No.
16/885,695
Granted
Mar 7, 2023
Kind
B2
Abstract

A computer-implemented method of providing targeted content to a user includes generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment. The method further includes constructing the browser-executable library including the query index, where the browser-executable library is configured to execute within a local machine browser of the user, and transmitting the browser-executable library to the local machine browser of the user, wherein the browser-executable library is configured to determine that a query of the plurality of market segment-based queries matches user-specific data only stored in the local machine browser of the user, where the query matching the user-specific data stored in the local machine browser of the user is configured to cause the local machine browser to request the targeted content corresponding to the user-specific data.

Claims (32)

1. A computer-implemented method comprising:

generating a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment;

generating a browser-executable library comprising the query index, the browser-executable library configured to execute within a local machine browser of the user; and

transmitting the browser-executable library to the local machine browser of the user,

wherein the browser-executable library is configured to determine that a query of the plurality of market segment-based queries matches user-specific data only stored in the local machine browser of the user,

wherein the query matching the user-specific data stored in the local machine browser of the user is configured to cause the local machine browser to request the targeted content corresponding to the user-specific data.

2. The computer-implemented method of claim 1 , wherein the user-specific data stored in the local machine browser comprises user browser history data stored in a privacy sandbox of a browser data repository, wherein the user browser history data indicates a behavior of the user interacting with the local machine browser.

3. The computer-implemented method of claim 1 , wherein the user-specific data stored in the local machine browser comprises user-specific attribute data.

4. The computer-implemented method of claim 1 , wherein the requested and received targeted content contains user-specific personalized content.

5. The computer-implemented method of claim 1 , wherein the requested and received targeted content contains user-specific content.

6. The computer-implemented method of claim 1 , further comprising replying to a request to transmit an updated query index from the local machine browser.

7. The computer-implemented method of claim 1 , wherein the browser-executable library is configured to cause the local machine browser to locally process at least one query from the query index against locally stored at least one of user attribute data and historical user browser activity.

8. The computer-implemented method of claim 7 , wherein the at least one query from the query index is configured to provide instructions to the browser-executable library, the instructions configured to collect at least one of the user attribute data and the historical user browser activity.

9. The computer-implemented method of claim 1 , where the query index comprises a prioritized decision tree graph query index.

10. A computer-implemented system comprising:

a memory configured to store computer-executable instructions; and

a processor configured to retrieve the stored computer-executable instructions and execute the computer-executable instructions on the processor, the computer-executable instructions configured to:

generate a query index from a data corpus, the query index including a plurality of market segment-based queries, wherein each market segment-based query of the plurality of queries is configured to provide targeted content on a browser user interface of a user determined to be within a corresponding market segment;

construct a browser-executable library comprising the query index, the browser-executable library configured to execute within a local machine browser of a user; and

transmit the browser-executable library to the local machine browser of the user,

wherein the browser-executable library is configured to determine a query of the plurality of market segment-based queries matching user-specific data only stored in the local machine browser of the user,

wherein the query matching the user-specific data stored in the local machine browser of the user causes the local machine browser to request and receive content corresponding to the user-specific data of the user.

11. The computer-implemented system of claim 10 , wherein the user-specific data stored in the local machine browser comprises user browser history data stored in a privacy sandbox of a browser data repository, wherein the user browser history data indicates a behavior of the user interacting with the local machine browser.

12. The computer-implemented system of claim 10 , wherein the user-specific data stored in the local machine browser comprises user-specific attribute data.

13. The computer-implemented system of claim 10 , wherein the requested and received targeted content contains user-specific personalized content.

14. The computer-implemented system of claim 10 , wherein the requested and received targeted content contains user-specific content.

15. The computer-implemented system of claim 10 , further comprising replying to a request to transmit an updated query index from the local machine browser.

16. The computer-implemented system of claim 10 , wherein the browser-executable library is configured to cause the local machine browser to locally process at least one query from the query index against locally stored at least one of user attribute data and historical user browser activity.

17. The computer-implemented system of claim 16 , wherein the at least one query from the query index is configured to provide instructions to the browser-executable library, the instructions configured to collect at least one of the user attribute data and the historical user browser activity.

18. The computer-implemented system of claim 10 , where the query index comprises a prioritized decision tree graph query index.

19. The computer-implemented system of claim 10 , wherein the browser executable script library is configured to be associated with a Uniform Resource Locator (URL).

20. The computer-implemented system of claim 10 , wherein constructing the browser-executable library comprising the query index further comprises compiling the query index into the browser-executable library.

Assignments (2)
CHANGE OF NAME Recorded Aug 4, 2026
From: SALESFORCE.COM, INC.
To: SALESFORCE, INC.
Reel/Frame 076118/0548 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 18, 2020
From: KRISHNAPRASAD, MURALIDHAR; CHAPMAN, KRISTEN
To: SALESFORCE.COM, INC.
Reel/Frame 052980/0967 →
Continuity (1)
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