Systems and methods for generating and maintaining internet user profile data

• US 9,646,095 B1
• Filed: 02/28/2013
• Issued: 05/09/2017
• 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
• Assistant Examiner(s): Agharahimi, Farhad
• Application Number:
  US13/781,472
• Time in Patent Office: 1,531 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 of automatically maintaining a user profile cookie set using a system having cookie harvesting computing equipment and a user profile database, wherein the user profile cookie set is to be used in browsing publisher websites while simulating an internet user having a user profile, the method comprising:

with the cookie harvesting computing equipment, selecting a publisher website to explore;

with the cookie harvesting computing equipment, selecting the user profile from the user profile database;

with the cookie harvesting computing equipment, selecting a cookie set associated with the user profile;

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

storing the updated cookie set in the user profile database;

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

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

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

3. The method defined in claim 2, further comprising obtaining site-specific segmentation data for the selected publisher website.

4. The method defined in claim 3 wherein selecting the user profile further comprises selecting the user profile using the user trait set and the obtained site-specific segmentation data.

5. The method defined in claim 4 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.

6. The method defined in claim 2 wherein the user trait set includes at least one user trait selected from the group consisting of:

a user gender, a user age range, a user income range, a user interest, and a user geographical location.

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

with the advertisement discovery equipment, identifying advertisement creatives on the selected publisher website; and

with the advertisement discovery equipment, identifying placement pathways associated with the identified advertisement creatives.

9. The method defined in claim 8, wherein identifying the placement pathways comprises identifying site-specific data trees for each of the identified advertisement creatives, wherein the site-specific data trees each comprise a base uniform resource locator (URL) associated with the corresponding advertisement creative and branches indicating the placement pathways of the corresponding advertisement creative.

10. A system, comprising:

cookie harvesting computing equipment;

user profile database computing equipment configured to store a plurality of user profiles, wherein the cookie harvesting computing equipment comprises a processor that is configured to generate one or more cookie sets associated with each user profile of the plurality of user profiles and that is configured to simulate a user having each user profile of the plurality of user profiles to automatically gather and analyze advertisement information associated with each of the plurality of user profiles from a plurality of publisher websites, wherein the processor is configured to analyze the advertisement information by identifying placement pathways associated with advertisement creatives identified by the gathered advertisement information, wherein the processor is configured to identify the placement pathways by identifying site-specific data trees for each of the identified advertisements, and wherein the site-specific data trees each comprise a base uniform resource locator (URL) associated with the corresponding advertisement creative and branches indicating the placement pathways of the corresponding advertisement creative.

11. The system defined in claim 10 wherein the plurality of user profiles that are stored on the user profile database computing equipment each include a user trait set.

12. The system defined in claim 11 wherein cookie harvesting computing equipment includes at least one web crawler application and storage that stores cookies that have been gathered using the web crawler application.

13. The system defined in claim 10, further comprising:

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