Method and system for using natural language in computer resource utilization analysis via a communications network

• US 20030149567A1
• Filed: 02/04/2002
• Published: 08/07/2003
• Est. Priority Date: 02/04/2002
• Status: Abandoned Application

• Current Assignee: 24/7 Real Media Incorporated (WPP PLC)
• Original Assignee: 24/7 Real Media Incorporated (WPP PLC)
• Inventors: Shenkerman, Roman, Schmitz, Tony, Scherl, Giorgio, Pant, Ashish, Pisula, Michael, Tsepetis, Alexandros
• Application Number:
  US10/061,188
• Publication Number:
  US 20030149567A1
• Time in Patent Office: Days
• US Class Current: 704/270
• CPC Class Codes: G06F 16/958 Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking

Abstract

A client system issues a request for a resource over the Internet from a resource server. In constructing the response, the resource server includes: the data requested by the client, additional instructions for the client system to perform upon arrival of the response, and a natural language identifier which describes the resource requested by the client called the taxonomy string. Upon arrival of the response, the additional instructions inserted by the server system cause the client system to send a subsequent request over the Internet to an analytics system. The analytics request may contain a natural language description of the requested resource and a unique identifier to uniquely identify the client system. The analytics system performs analysis on the natural language identifier and stores it in a taxonomy database. The analytics system also performs calculations using the data provided in the analytics request to determine resource utilization patterns.

Claims

1. A system monitoring computer resource utilization, comprising:

a client system in which a user requests access to a computing resource;

a resource server to receive the resource request from the client system and to transmit a response to the client system, the response including a natural language taxonomy description corresponding to the requested computer resource; and

an analytics system to receive an analytics request from the client system, the analytics request including the natural language taxonomy description corresponding to the requested computer resource and client information, wherein the analytics system stores the natural language taxonomy description and the client information and determines resource utilization patterns from the stored natural language taxonomy description and client information.

2. The system of claim 1, wherein the computer resource is accessed over the Internet.

3. The system of claim 1, wherein the response from the resource server to the client system includes at least data requested by the client system, additional instructions for the client system to perform and the natural language taxonomy description corresponding to the requested computing resource.

4. The system of claim 1, wherein the client information includes a unique client identifier.

5. The system of claim 1, wherein the analytics system creates a unique client identifier if the client information does not include a client identifier and transmits the client identifier to the client system.

6. The system of claim 1, wherein the natural language taxonomy description is created by the computing resource.

7. The system of claim 1, wherein the analytics system extracts the natural language taxonomy description contained in the analytics request from the client system.

8. The system of claim 7, wherein the analytics system assigns a numeric taxonomy identifier to the natural language taxonomy description.

9. The system of claim 8, wherein the numeric taxonomy identifier is used in concert with the client identifier to calculate data relating to the resources which were accessed by the client system.

10. The system of claim 9, wherein calculations are stored in an analytics database in the analytics system.

11. The system of claim 10, wherein the calculations are output in a utilization report.

12. The system of claim 1, wherein the analytics system comprises a request normalizer, a transaction engine, a taxonomy database, an analytics database, a client identifier database a client identifier server and a reporting engine.

13. The system of claim 12, wherein the request normalizer determines whether the analytics request contains a valid client identifier and retrieves a client identifier stored in the client identifier database from the client identifier server if the analytics request does not contain a valid client identifier.

14. The system of claim 13, wherein the request normalizer constructs an analytics object from the client identifier and the natural language taxonomy description and sends the analytics object to the transaction engine.

15. The system of claim 14, wherein the transaction engine:

disassembles the natural language taxonomy description into attribute-value pairs, wherein each attribute and value has a corresponding entry in the taxonomy database in addition to a numeric identifier,

creates an attribute-value composite string which is stored in the taxonomy database and assigned a unique identifier, and

generates a visitor profile from the data stored in the taxonomy database and the client identifier, wherein the visitor profile is a historic record of the activity of the client system and may include at least a number of computing resources requested, a first resource requested, a last resource requested, a date and time of the first request and a date and time of the last request.

16. A method for profiling a computer resource visit by processing a natural language taxonomy description transmitted by a computer resource accessed by a visitor together with a respective unique visitor identifier.

17. A method comprising:

requesting access to a computer resource;

transmitting a response to the request, the response including a natural language taxonomy description corresponding to the requested computer resource; and

transmitting an analytics request, the analytics request including the natural language taxonomy description and client information corresponding to a user requesting access to the computer resource;

processing the natural language taxonomy description and the client information to determine resource utilization patterns of the user.

18. The method of claim 17, further comprising:

determining whether the client information includes a client identifier;

retrieving a client identifier from a database if the client information does not include a client identifier;

determining whether the client identifier is valid;

retrieving a new client identifier if the client identifier is invalid;

constructing an analytics object, the analytics object including at least the client identifier, the natural language taxonomy description, and a time at which the analytics request was received; and

transmitting a response to the analytics request.

19. The method of claim 18, further comprising:

extracting attribute-value pairs which comprise the analytics object;

retrieving a corresponding attribute-value identifier for each attribute-value pair from a database;

compiling an attribute-value composite string from each of the attribute-value pairs and the corresponding attribute-value identifier; and

performing analytics on each attribute-value composite string.

21. The method of claim 17, further comprising preparing a utilization report including the resource utilization patterns of the user.

20. A computer readable medium storing a program for executing a process comprising:

requesting access to a computer resource;

transmitting a response to the request, the response including a natural language taxonomy description corresponding to the requested computer resource; and

transmitting an analytics request, the analytics request including the natural language taxonomy description and client information corresponding to a user requesting access to the computer resource;

processing the natural language taxonomy description and the client information to determine resource utilization patterns of the user.