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

• US 9,600,557 B2
• Filed: 04/08/2013
• Issued: 03/21/2017
• Est. Priority Date: 02/14/2000
• Status: Expired due to Term

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Doliov, Stephan
• Primary Examiner(s): PARDO, THUY N
• Application Number:
  US13/858,600
• Publication Number:
  US 20130226924A1
• Time in Patent Office: 1,443 Days
• Field of Search: 707/733, 707/749, 707/708, 709/223, 709/227, 455/410, 715/273
• US Class Current: 1/1
• 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 can determine validity of web-based interactions. Web-based interaction data relating to a web-based interaction may be accessed. The web-based interaction data may include aggregate measure data that may include a number of unique queries per web-based session. The validity of the web-based interaction may be determined based on the aggregate measure data.

Claims

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

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

ignoring or blocking the web-based interaction based on the aggregate measure data; and

determining the validity of the web-based interaction based on the aggregate measure data.

2. 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 aggregate measure data.

3. The method of claim 1, where the aggregate data further comprises Internet click data.

4. The method of claim 1, where the aggregate data further comprises Internet search result data.

5. The method of claim 1, where the aggregate data further comprises Internet advertiser data.

6. The method of claim 1, where the aggregate data further comprises data related to the web-based interaction'"'"'s source Internet IP address.

7. The method of claim 1, where the web-based interaction data further comprises Internet click data and search result data.

8. A computer implemented method for monitoring and handling web-based interactions, comprising:

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

ignoring or blocking the web-based interaction based on the web-based interaction data.

9. The method of claim 8, where the handling of the web-based interaction comprises automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction.

10. The method of claim 8, where the web-based interaction data further comprises Internet click data.

11. The method of claim 8, where the web-based interaction data further comprises Internet search result data.

12. The method of claim 8, where the web-based interaction data further comprises Internet advertiser data.

13. The method of claim 8, where the web-based interaction data further comprises data related to the web-based interactions'"'"' respective source Internet IP addresses.

14. The method of claim 8, where the web-based interaction data further comprises Internet click data and search result data.

15. A computer implemented method for determining validity of web-based interactions, comprising:

accessing aggregate measure data relating to a web-based interaction, the aggregate measure data comprising a number of unique actions per web-based session;

automatically adjusting an account of a web-based advertiser by reducing or removing a cost of the web-based interaction based on the number of unique actions per web-based session; and

determining the validity of the web-based interaction based on the number of unique actions per web-based session.

16. The method of claim 15, further comprising:

ignoring or blocking the web-based interaction based on the number of unique actions per web-based session.

17. The method of claim 15, where the unique actions per web-based session include unique clicks per web-based session.

18. The method of claim 15, where the unique actions per web-based session include unique queries per web-based session.

19. The method of claim 15, where the unique actions per web-based session include unique responses and requests per web-based session.

20. The method of claim 15, where the unique actions per web-based session include unique clicks and queries per web-based session.