Method and system for characterization of online behavior

• US 7,533,179 B2
• Filed: 09/20/2002
• Issued: 05/12/2009
• Est. Priority Date: 09/20/2001
• Status: Expired due to Fees

• Current Assignee: Connexity Audience, Inc.
• Original Assignee: Hitwise Pty. Ltd. (Experian plc)
• Inventors: Tarquini, Maureen Mendick, Sandefur, Robert Asheville Jr., Robertson, Michael Chad
• Primary Examiner(s): Lin; Kenny S
• Application Number:
  US10/251,621
• Publication Number:
  US 20030110255A1
• Time in Patent Office: 2,426 Days
• Field of Search: 709/217, 709/224, 709/228, 709/229
• US Class Current: 709/228
• CPC Class Codes: G06F 11/3476 Data logging G06F11/14, G06F11/2205 take precedence
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 2201/875 Monitoring of systems including the internet
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

Data about computer network traffic is collected as user website visit recording sessions. The data captured is analyzed and organized with sufficient level of detail or granularity to determine a single request from a server. Each data request is analyzed to determine if it comes from a server with which an ongoing end user interaction or open site visit is occurring. If not, a new site visit is created as a general proposition. If the data request is part of an open site visit, then the time is compared to the time of the last interaction and if the interval is sufficiently small, the data request is treated as a continuation of the visit. If the interval is large, a new site visit is created.

Claims

1. A method performed by a computer system, of collecting and classifying data about computer network traffic as user website visit recording sessions, comprising determining whether a data request to at least one website comprises an ongoing interaction with a website or whether the request is a new site visit by a user of a plurality of users, said method including:

assembling a data table made up of all known hosts that are able to direct users to a specific website;

classifying the computer network traffic corresponding to said sessions by tracking each user request of said plurality of users to all known hosts for each specific website;

if the request is a new visit, creating a first record of a new site visit for each user;

if the request for each user is a first ongoing interaction which occurred more than a predetermined amount of time since a last visit, creating a second record of the data request as a new site visit for each user;

if the request is a second ongoing interaction occurring at less than the predetermined amount of time since the last visit, processing the request as a continuation of the last visit for each user;

characterizing the network traffic based on the first or second records created for each website independent of which host is used by each user to request data from each website; and

wherein said predetermined amount of time is within five to fifteen minutes if the data request is to one of said known hosts, an open site visit is running to said specific website and an intervening data request has not been received.

2. The method of claim 1, further comprising creating records of a website visit which includes components of the website visit originating from hosts that are not members of the specific website.

3. The method of claim 2, wherein said components of a website visit originating from hosts that are not members of a specific website comprise forced content and images, and are processed as data requests to the specific website.

4. The method of claim 1, further comprising collecting and classifying computer network traffic for said sessions by concurrently running said sessions for each browser opened by users having multiple browsers open.

5. The method of claim 1, further comprising detecting and recording the port numbers of each data request and determining whether the data requests are secure socket layer transactions.

6. The method of claim 1, further comprising determining the duration of a website visit by subtracting the start time of a session for each user of said plurality of users from the latest end time.

7. The method of claim 6, wherein the end of a website visit by a user is determined by detecting when the user closes a session.

8. The method of claim 6, wherein the end of a website visit is determined by detecting when the predetermined amount of time of inactivity occurs.

9. A method performed by a computer system, of collecting and classifying data about computer network traffic as user website visit recording sessions, comprising determining whether a data request to at least one website comprises an ongoing interaction with a website or whether the request is a new site visit by a user of a plurality of users, said method including:

assembling a data table made up of all known hosts that are able to direct users to a specific website;

classifying the computer network traffic corresponding to said sessions by tracking each user request of said plurality of users to all known hosts for each specific website;

if the request is a new visit, creating a first record of a new site visit for each user;

if the request for each user is a first ongoing interaction which occurred more than a predetermined amount of time since a last visit, creating a second record of the data request as a new site visit for each user;

if the request is a second ongoing interaction occurring at less than the predetermined amount of time since the last visit, processing the request as a continuation of the last visit for each user;

characterizing the network traffic based on the first or second records created for each website independent of which host is used by each user to request data from each website; and

wherein said predetermined amount of time is within thirty to sixty seconds if the data request is to one of said known hosts, an open site visit is running to said specific website, an intervening data request has been received within five to twenty seconds and the host of the intervening data request is known.

10. The method of claim 9, wherein said request is a new visit when the request is to one of said known hosts, an open site visit is not running to said specific website and the request is not for forced content or an image.

11. The method of claim 9, further comprising creating records of a website visit which includes components of the website visit originating from hosts that are not members of the specific website.

12. The method of claim 11, wherein said components of a website visit originating from hosts that are not members of a specific website comprise forced content and images, and are processed as data requests to the specific website.

13. The method of claim 9, further comprising collecting and classifying computer network traffic for said sessions by concurrently running said sessions for each browser opened by users having multiple browsers open.

14. The method of claim 9, further comprising detecting and recording the port numbers of each data request and determining whether the data requests are secure socket layer transactions.

15. The method of claim 9, further comprising determining the duration of a website visit by subtracting the start time of a session for each user of said plurality of users from the latest end time.

16. The method of claim 15, wherein the end of a website visit by a user is determined by detecting when the user closes a session.

17. The method of claim 15, wherein the end of a website visit is determined by detecting when the predetermined amount of time of inactivity occurs.