Systems and methods for generating and maintaining internet user profile data

• US 10,559,005 B2
• Filed: 05/01/2017
• Issued: 02/11/2020
• Est. Priority Date: 03/01/2012
• Status: Active Grant

• Current Assignee: Pathmatics, Inc.
• Original Assignee: Pathmatics, Inc.
• Inventors: Gottlieb, Gabriel, Lorimor, Thomas George
• Primary Examiner(s): Mofiz, Apu M
• Assistant Examiner(s): Agharahimi, Farhad
• Application Number:
  US15/583,764
• Publication Number:
  US 20170236157A1
• Time in Patent Office: 1,016 Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Systems and methods are provided for automatically generating and maintaining user profile cookie sets. The user profile cookie sets may be used by a web crawler when gathering data such as advertisement data associated with one or more websites. The cookie sets may be generated by choosing a user profile with a set of user traits, selecting a set of websites related to the user traits, and browsing the selected set of websites using a web crawler while allowing the website to place cookies in storage of the web crawler. The cookie sets may be maintained by selecting a website to browse, selecting a user profile associated with the selected website, loading a previously generated cookie set for the selected user profile into the storage of a web crawler, and loading the webpage while allowing the website to place, update, or replace cookies in the storage of the web crawler.

Claims

1. A method, comprising:

with cookie harvesting computing equipment, obtaining a cookie set associated with a user profile in a user profile database;

with a web crawler of the cookie harvesting computing equipment, loading a publisher website while allowing the publisher website to update the obtained cookie set;

with advertisement discovery equipment, identifying advertisements that have been placed on the publisher website by an advertisement channel that is separate from the advertisement discovery equipment, wherein at least some of the advertisements that have been placed on the publisher website are associated with the user profile;

with the advertisement discovery equipment, identifying placement pathways associated with the identified advertisements that have been placed on the publisher website by the advertisement channel; and

storing the updated cookie set in the user profile database in association with the user profile.

2. The method of claim 1, wherein obtaining the cookie set comprises selecting the cookie set from a plurality of cookie sets associated with the user profile.

3. The method defined in claim 1 wherein the user profile includes a user trait set and wherein the method further comprises selecting the user profile using the user trait set.

4. The method defined in claim 3, further comprising obtaining site-specific segmentation data for the publisher website.

5. The method defined in claim 4 wherein selecting the user profile further comprises selecting the user profile using the user trait set and the obtained site-specific segmentation data.

6. The method defined in claim 5 wherein selecting the user profile using the user trait set and the obtained site-specific segmentation data comprises:

extracting user population percentages from the obtained site-specific segmentation data; and

comparing the extracted user population percentages to the user trait set and additional user trait sets in the user profile database.

7. The method defined in claim 1, further comprising:

with data analysis and storage equipment, aggregating advertisement information that includes the identified placement pathways to generate aggregated advertisement information, wherein the aggregated advertisement information comprises at least one of per-service data, per-ad-network data, per-advertiser data, per-creative data, and per-campaign data generated by combining and sorting a plurality of identified advertisements using the data analysis and storage equipment; and

with customer interface equipment, providing a notification to a customer that includes the aggregated advertisement information.

8. A method, comprising:

loading, with a web crawler, a publisher web page at a publisher server while allowing the publisher server to update cookie storage of the web crawler;

identifying, using advertisement discovery equipment, an advertisement that has been placed on the publisher web page by an advertisement channel that is separate from the advertisement discovery equipment; and

with the advertisement discovery equipment, identifying a placement pathway by which the identified advertisement was placed on the publisher web page by the advertisement channel.

9. The method of claim 8, further comprising, prior to loading the publisher web page, storing a cookie set associated with a user profile in the cookie storage of the web crawler.

10. The method of claim 9, wherein allowing the publisher server to update the cookie storage of the web crawler comprises allowing the publisher server to update the stored cookie set.

11. The method of claim 10, wherein the advertisement is associated with the user profile.

12. The method of claim 10, further comprising storing the updated cookie set, in connection with the user profile, in a user profile database.

13. The method of claim 9, further comprising, prior to storing the cookie set in the cookie storage of the web crawler, generating the cookie set based on a user trait set associated with the user profile and based on site-specific segmentation data for a plurality of publisher websites.

14. The method of claim 13, wherein generating the cookie set based on a user trait set associated with the user profile and site-specific segmentation data for a plurality of publisher websites comprises:

selecting the user profile, with cookie harvesting computing equipment, from a plurality of existing user profiles in a user profile database, each user profile corresponding to a simulated interne user and each having a corresponding user trait set;

obtaining the site-specific segmentation data for each of the plurality of publisher websites;

selecting, from the plurality of publisher websites, a set of publisher websites to browse based on the user trait set for the user profile and the obtained site-specific segmentation data;

with a web crawler of the cookie harvesting computing equipment, loading each of the selected set of publisher websites while allowing each of the selected set of publisher websites to place cookies in cookie storage of the web crawler of the cookie harvesting computing equipment; and

storing the placed cookies in the user profile database as the cookie set for the user profile.

15. The method of claim 8, wherein identifying the placement pathway comprises identifying a site-specific data tree for the identified advertisement, and wherein the site-specific data tree comprises a base uniform resource locator (URL) associated with a corresponding advertisement creative and branches indicating the placement pathway of the corresponding advertisement creative.

16. A system, comprising:

a user profile database storing a plurality of user profiles and at least one cookie set associated with each user profile; and

at least one processor configured to;

store a cookie set of a selected one of the user profiles in cookie storage of a web crawler;

load a publisher web page at a publisher server while allowing the publisher server to update the cookie set;

identify an advertisement that has been placed on the publisher web page by an advertisement channel that is separate from the at least one processor; and

identify a placement pathway by which the identified advertisement was placed on the publisher web page by the advertisement channel.

17. The system of claim 16, wherein the at least one processor is configured to identify the placement pathway by identifying a site-specific data tree for the identified advertisement, and wherein the site-specific data tree comprises a base uniform resource locator (URL) associated with a corresponding advertisement creative and branches indicating the placement pathway of the corresponding advertisement creative.

18. The system defined in claim 16, further comprising:

a database storing site-specific segmentation data that is specific to each of a plurality of publisher websites, wherein the site-specific segmentation data for each publisher website includes user population statistics related to a population of human users of that website.

19. The system of claim 18, wherein the at least one processor is further configured to generate the at least one cookie set associated with each user profile at least in part by selecting a plurality of publisher websites to crawl based on the site-specific segmentation data and a user trait set associated with the user profile.

20. The system of claim 19, wherein the at least one cookie set associated with each user profile comprises a plurality of cookie sets associated with each user profile.