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

• US 7,933,903 B2
• Filed: 01/22/2010
• Issued: 04/26/2011
• 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:
  US12/692,350
• Publication Number:
  US 20100125542A1
• Time in Patent Office: 459 Days
• Field of Search: 707/999.102, 707/737, 707/740, 707/748, 707/751, 707/706, 707/603, 709/223, 455/410, 700/83, 705/10, 705/67, 715/200, 715/206
• US Class Current: 707/737
• 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 system classifies a user interaction on a network. An interface collects a user interaction data relating to a user interaction on a network. The user interaction data comprises an aggregate measure data or a unique feature data. The processor, which is connected to the interface, processes the user interaction data to generate a value score for the user interaction and determines a classification of the user interaction based on the value score.

Claims

1. A computer implemented system for classifying a user interaction on a network, comprising:

a server interface to collect a user interaction data relating to a user interaction on a network, wherein the user interaction data comprises an aggregate measure data or a unique feature data; and

a processor connected to the server interface, the processor to process the user interaction data to generate a value score for an Internet click interaction, and to determine a classification of the user interaction based on the value score.

2. The system of claim 1 wherein the aggregate measure data comprises data representing a set of user interactions.

3. The system of claim 2 wherein the aggregate measure data comprises at least one of:

a number of clicks per network address for a time period, a number of unique queries per user session, a number of network clicks for the time period, and a number of distinct referral partners generating clicks for the time period.

4. The system of claim 1 wherein the unique feature data comprises data representing the interaction with the user.

5. The system of claim 4 wherein the unique feature data comprises at least one of:

an origin of the user, a time of the interaction, a type of the interaction, and a user cookie data.

6. The system of claim 1 wherein the value score represents a likelihood of the user interaction being valid.

7. The system of claim 1 wherein the value score represents a likelihood of the user interaction being legitimate.

8. The system of claim 1 wherein the value score represents a likelihood of the user interaction being desirable.

9. The system of claim 1 wherein the processor collects a minimum amount of user interaction data before processing the user interaction data.

10. The system of claim 1 wherein the processor applies a model to the user interaction data.

11. The system of claim 10 wherein the model comprises a mathematical model.

12. The system of claim 11 wherein the mathematical model comprises a mathematical model of interactions derived using at least one measure of mathematical probability.

13. The system of claim 10 wherein the model comprises a stochastic model.

14. The system of claim 1 wherein the classification of the interaction comprises at least one of:

an acceptable but unusual classification, a normal behavior classification and an unacceptable classification.

15. A computer implemented system for monitoring user interactions on a network, comprising:

a server interface to collect a user interaction data relating to a user interaction on a network; and

a processor to process the user interaction data to generate a set of user interaction inputs, the processor to generate a value score for an Internet click interaction by applying a model to the user interaction inputs, to determine a classification of the user interaction based on the value score, and to handle the user interaction based on the classification of the interaction.

16. The system of claim 15 wherein the user interaction data comprises an aggregate measure data or a unique feature data.

17. The system of claim 15 wherein the processor handles the user interaction based on the classification by removing the user interaction from a report used to charge network operators.

18. The system of claim 17 further comprising using the stored value score to produce a report.

19. The system of claim 15 wherein handling the user interaction based on the classification comprises storing the value score of the interaction.

20. The system of claim 15 wherein the processor handles the user interaction based on the classification by ignoring interactions from a network address of the user interaction.

21. The system of claim 15 wherein the user interaction comprises a click on a link of an advertiser.

22. The system of claim 15 wherein the processor handles the user interaction based on the classification by alerting the advertiser of the classification.