System and method to determine the validity of an interaction on a network

• US 8,423,543 B2
• Filed: 02/24/2011
• Issued: 04/16/2013
• Est. Priority Date: 02/14/2000
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Doliov, Stephan
• Primary Examiner(s): PARDO, THUY N
• Application Number:
  US13/034,466
• Publication Number:
  US 20110145248A1
• Time in Patent Office: 782 Days
• Field of Search: 707/733, 707/737, 707/748, 707/751, 707/768, 455/410, 709/223, 709/245, 705/6
• US Class Current: 707/733
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 21/552 involving long-term monitoring or reporting
• CPC Class Codes: G06F 21/577 Assessing vulnerabilities and evaluating computer system security
• CPC Class Codes: G06F 2221/2135 Metering
• CPC Class Codes: G06Q 10/067 Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: H04L 61/5007 Internet protocol [IP] addresses
• CPC Class Codes: H04L 63/126 the source of the received data
• CPC Class Codes: H04L 63/1408 by monitoring network traffic monitoring network traffic per se H04L43/00
• CPC Class Codes: H04L 63/1416 Event detection, e.g. attack signature detection
• CPC Class Codes: H04L 63/1441 Countermeasures against malicious traffic countermeasures against attacks on cryptographic mechanisms H04L9/002
• CPC Class Codes: H04L 67/02 based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/14 Session management for real-time applications in data packet communications networks H04L65/1066
• CPC Class Codes: H04L 67/51 Discovery or management thereof, e.g. service location protocol [SLP] or web services
• CPC Class Codes: H04L 67/535 Tracking the activity of the user network monitoring arrangements H04L43/00; recording of computer activity G06F11/34
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: Y10S 707/99939 Privileged access
• CPC Class Codes: Y10S 707/99942 : Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 : Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99944 : Object-oriented database structure
• CPC Class Codes: Y10S 707/99945 : Object-oriented database structure processing

Abstract

A computer implemented method classifies a user interaction on a network. User interaction data relating to a user interaction on a network is accessed. The user interaction data comprises an aggregate measure data or a unique feature data. The user interaction data is processed to generate a score for the user interaction and determines a classification of the user interaction based on the score.

Claims

1. A computer implemented method for determining a validity of a web-based interaction, comprising:

accessing web-based interaction data relating to the web-based interaction, wherein the web-based interaction data comprises aggregate measure data that comprises a number of unique queries per web-based session; and

processing the web-based interaction data to generate a score for the web-based interaction, and to determine the validity of the web-based interaction based on the score.

2. The method of claim 1 further comprising:

ignoring or blocking a web-based interaction similar to the web-based interaction based on the score.

3. The method of claim 1 further comprising:

automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction based on the score.

4. The method of claim 1 wherein the aggregate data further comprises a number of unique user id'"'"'s per search listing click per unit time.

5. The method of claim 1 wherein the aggregate data further comprises a number of unique user sessions per search listing click per unit time.

6. The method of claim 1 wherein the aggregate data further comprises a number of unique user input formatted queries per search listing click per unit time.

7. The method of claim 1 wherein the aggregate data further comprises a number of unique search identifiers per search listing click per unit time.

8. The method of claim 1 wherein the aggregate data further comprises a number of unique IP addresses per search listing click per unit time.

9. The method of claim 1 wherein the aggregate data further comprises a number of unique C networks per search listing click per unit time.

10. The method of claim 1 wherein the aggregate data further comprises a number of unique referring sites per search listing click per unit time.

11. The method of claim 1 wherein the aggregate data further comprises a total number of clicks per search listing per unit time.

12. The method of claim 1 wherein the aggregate data further comprises a number of unique user id'"'"'s per advertiser receiving any billable clicks per unit time.

13. The method of claim 1 wherein the aggregate data further comprises a number of unique user sessions per advertiser receiving any billable clicks per unit time.

14. The method of claim 1 wherein the aggregate data further comprises a number of unique database input formatted queries per advertiser receiving any billable clicks per unit time.

15. The method of claim 1 wherein the aggregate data further comprises a number of unique database input formatted queries per advertiser receiving any billable clicks per unit time.

16. The method of claim 1 wherein the aggregate data further comprises a number of unique search identifiers per advertiser receiving any billable clicks per unit time.

17. The method of claim 1 wherein the aggregate data further comprises a number of unique IP addresses per advertiser receiving any billable clicks per unit time.

18. The method of claim 1 wherein the aggregate data further comprises a number of unique C networks per advertiser receiving any billable clicks per unit time.

19. The method of claim 1 wherein the aggregate data further comprises a total number of billable clicks per advertiser receiving any billable clicks per unit time.

20. The method of claim 1 wherein the aggregate data further comprises a number of unique search listing clicks per advertiser receiving any billable clicks per unit time.

21. The method of claim 1 wherein the aggregate data further comprises a total number of all clicks per advertiser receiving any billable clicks per unit time.

22. A computer implemented method for monitoring web-based interactions, comprising:

accessing web-based interaction data relating to web-based interaction on a network, the web-based interaction data comprising a number of unique queries per web-based session;

processing the web-based interaction data to generate a set of web-based interaction inputs;

generating a score by applying a model to the web-based interaction inputs;

determining a classification of the web-based interaction based on the score; and

handling the web-based interaction based on the classification of the web-based interaction.