System and method for analyzing web paths

• US 8,095,644 B2
• Filed: 12/07/2006
• Issued: 01/10/2012
• Est. Priority Date: 12/07/2006
• Status: Active Grant

• Current Assignee: Capital One Services LLC (Capital One Financial Corporation)
• Original Assignee: Capital One Financial Corporation
• Inventors: Papadimitriou, Odiseas, Chhabra, Manish R.
• Primary Examiner(s): LIN, WEN TAI
• Application Number:
  US11/635,035
• Publication Number:
  US 20080140697A1
• Time in Patent Office: 1,860 Days
• Field of Search: 709/203, 709/219, 709/223, 709/224, 709/225, 370/252
• US Class Current: 709/224
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

A method for analyzing web page paths associated with accesses to one or more web pages associated with one or more websites is disclosed. The method includes storing, for each instance of a web page access of the one or more web pages, time of access data, page access data, and entity data. The method further includes, for each entity reflected in the storage, determining one or more web page paths traversed by the entity based at least on the time of access data and the page access data, wherein each path includes accesses to at least two web pages. The method additionally includes analyzing at least one of the one or more websites or at least one of the one or more web pages, based on the determined one or more web page paths, and providing the analysis to one or more users or software processes.

Claims

1. A computer-implemented method for analyzing web page paths associated with accesses to one or more web pages associated with a plurality of websites, comprising:

storing in a storage, time of access data reflecting a time of access associated with each instance of a web page access of the one or more web pages of the plurality of websites, page access data reflecting an identification of each accessed web page, and entity data reflecting an entity associated with each instance of the web page access;

for each entity reflected in the storage, determining, by a processor, one or more web page paths traversed by the entity based on at least the time of access data and the page access data, wherein each web page path includes accesses to at least two web pages, the page access data includes a web page code, and each web page path includes a set of web page codes configured in consecutive time order, such that a time of access difference between a first time and a second time is less than a predetermined time period, wherein the first time reflects a time that a first web page of any two consecutive web pages reflected in the web page codes is accessed, and the second time reflects a time that a second web page of the any two consecutive web pages is accessed;

determining, by the processor, based on the determined one or more web page paths, an average access time for each web page of the plurality of websites;

analyzing, by the processor, entity interaction with the plurality of websites, based on the average access times and the determined one or more web page paths to determine one or more statistical values indicating whether a web page is bypassed by the entity in traversing the plurality of websites; and

providing, by the processor, the one or more statistical values to one or more users or software processes.

2. The computer-implemented method of claim 1, wherein determining the one or more web page paths traversed by each entity further includes:

determining, by the processor, each web page path based on a time order of the stored time of access data.

3. The method of claim 1, further comprising:

determining, based on a plurality of entity accesses to the one or more websites, a plurality of web page paths traversed on the one or more websites; and

for each of the plurality of web page paths, determining a frequency of traversals of the web page path.

4. The method of claim 3, wherein the frequency of traversals for each web page path of the plurality of web page paths, is determined according to a number of traversals of the web page path, or according to a percentage of the number of traversals of the web page path in relation to a number of overall web page path traversals on the one or more websites.

5. The method of claim 3, further comprising:

analyzing the frequency of traversals of each web page path traversed on the one or more websites; and

reconfiguring at least one of the one or more websites based on the analysis.

6. The method of claim 5, wherein reconfiguring at least one of the one or more websites further includes one or more of:

changing web page references on the one or more websites;

combining contents or references from separate web pages of the one or more websites onto a common web page;

inserting one or more web page references into one or more web pages of the one or more websites; and

removing one or more web page references from one or more web pages of the one or more websites.

7. The method of claim 3, further comprising:

collecting time data reflecting an amount of time one or more entities access at least one web page of a web page path; and

based on the time data and an analysis of the determined frequency of traversals, reconfiguring at least one of the one or more websites.

8. The method of claim 3, wherein each of the web page paths reflects a set of web page accesses at the one or more websites, each set of web page accesses having the same number of web page accesses.

9. A system for analyzing web paths associated with accesses to one or more web pages associated with a plurality of websites, comprising:

a storage component including a storage that stores time of access data reflecting a time of access associated with each instance of a web page access of the one or more web pages associated with the plurality of websites, page access data reflecting an identification of each accessed web page accessed, and entity data reflecting an entity associated with each instance of the web page access;

an analysis component including a processor that

determines, for each entity reflected in the storage, one or more web page paths traversed by the entity based on at least the time of access data and the page access data, wherein each web page path includes accesses to at least two web pages, the page access data includes a web page code, and each web page path includes a set of web page codes configured in consecutive time order, such that a time of access difference between a first time and a second time is less than a predetermined time period, wherein the first time reflects a time that a first web page of any two consecutive web pages reflected in the web page codes is accessed, and the second time reflects a time that a second web page of the any two consecutive web pages is accessed,

determines, based on the determined one or more web path paths, an average access time for each web page of the plurality of websites;

and analyses entity interaction with the plurality of websites, based on the average access times and the determined one or more web page paths; and

a display that displays information reflecting the entity interaction, including at least an indication of whether a web page is bypassed by the entity in traversing the plurality of websites, based on the analysis.

10. The system of claim 9, wherein the analysis component determines each web path based on a time order of the stored time of access data.

11. The system of claim 9, wherein the analysis system further determines:

a plurality of web paths traversed on the one or more websites, based on a plurality of entity accesses to the one or more websites; and

for each of the plurality of web paths, a frequency of traversals of the web path.

12. The system of claim 11, wherein the frequency of traversals for each web path of the plurality of web paths is determined according to a number of traversals of the web path, or according to a percentage of the number of traversals of the web path in relation to a number of overall web path traversals on the one or more websites.

13. The system of claim 11, wherein the analysis system:

analyzes the frequency of traversals of each web path traversed on the one or more websites; and

presents information to a user, wherein the information is used to reconfigure at least one of the one or more websites based on the analysis.

14. The system of claim 13, wherein at least one of the one or more websites is reconfigured by one or more of:

changing web page references on the one or more websites;

combining contents or references from separate web pages of the one or more websites onto a common web page;

inserting one or more web page references into one or more web pages of the one or more websites; and

removing one or more web page references from one or more web pages of the one or more websites.

15. The system of claim 11, wherein:

the analysis system collects time data reflecting an amount of time one or more entities access at least one web page of a web path; and

a web design system is used to reconfigure at least one of the one or more websites, based on the time data and the analysis of the determined frequency of traversals.

16. The system of claim 11, wherein each of the web paths reflects a set of web page accesses at the one or more websites, each set of web page accesses having the same number of web page accesses.

17. A computer-implemented method for analyzing web page paths associated with accesses to one or more web pages associated with one or more websites, comprising:

storing in a storage, time of access data reflecting a time of access associated with each instance of a web page access of the one or more web pages, page access data reflecting an identification of each accessed web page, and entity data reflecting an entity associated with each instance of the web page access;

for each entity reflected in the storage, determining, by a processor, one or more web page paths traversed by the entity based on at least the time of access data and the page access data, wherein each web page path includes accesses to at least two web pages, the page access data includes a web page code, and each web page path includes a set of web page codes configured in consecutive time order, such that a time of access difference between a first time and a second time is less than a predetermined time period, wherein the first time reflects a time that a first web page of any two consecutive web pages reflected in the web page codes is accessed, and the second time reflects a time that a second web page of the any two consecutive web pages is accessed;

determining, by the processor, based on the determined one or more web page paths, an average access time for each web page of the plurality of websites;

analyzing, by the processor, at least one of the one or more websites or at least one of the one or more web pages, based on the determined one or more web page paths, the average access times, and page access data indicating path traversals of a predetermined number during an overall time period to determine one or more statistical values indicating at least whether a web page is bypassed by the entity in traversing the plurality of websites; and

providing, by the processor, the one or more statistical values to one or more users or software processes.