Passive parameter based demographics generation

• US 8,549,163 B2
• Filed: 09/18/2008
• Issued: 10/01/2013
• Est. Priority Date: 09/18/2008
• Status: Expired due to Fees

• Current Assignee: John L. Williams, Jonathan M. Urdan
• Original Assignee: John L. Williams, Jonathan M. Urdan
• Inventors: Urdan, Jonathan M., Williams, John L.
• Primary Examiner(s): Ashraf, Waseem
• Application Number:
  US12/233,411
• Publication Number:
  US 20100070621A1
• Time in Patent Office: 1,839 Days
• Field of Search: 709/231, 709223-224
• US Class Current: 709/231
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: H04L 43/04 Processing captured monitoring data, e.g. for logfile generation

Abstract

A method for characterizing website visitors based on visitor passive parameters and using the characterization to select and/or market website content. The passive visitor parameters include data in the browser agent, time of a website visit, IP address, etc. Such visitor passive parameters are available each time a visitor visits a website. In a first step, a first embodiment of the method anonymously compares the visitor passive parameters with known demographics, for example, at financial websites, to create a statistical mapping between the visitor passive parameters and the demographics. In a second step, the mapping is used to estimate demographics data for future website visitors and then site content provided to the future website visitors is based on the estimated demographics.

Claims

1. A computer implemented method for selecting website content, the method comprising:

a first step of generating anonymous statistical mappings between website visitor passive parameters and the website visitor characteristics, the first step comprising;

obtaining a multiplicity of anonymous website visitor passive parameters for a multiplicity of website visitors, wherein the anonymous website visitor passive parameters are commonly available whenever a website is visited, wherein the passive parameters are parameters available without requesting information from the visitor and without interrogating a computer being used by the visitor to access the website; and

generating the anonymous statistical mappings using direct mapping method to estimate likelihoods that the website visitor has specific website visitor characteristics based on the website visitor passive parameters;

a second step of determining a mapping between the website visitor passive parameters and the website visitor demographics profiles, the second step comprising;

defining a set of the demographics profiles;

identifying the website visitor characteristics of each demographics profiles; and

developing mappings between the website visitor passive parameters and the website visitor demographics profiles based on the anonymous statistical mappings from the website visitor passive parameters to the website visitor characteristics and the website visitor characteristics of each demographics profiles;

marketing the mappings between the website visitor passive parameters and the website visitor demographics profiles to website operators;

the website operators determining future website content having the greatest expected value for each demographic profiles using the mappings; and

the website operators selecting content to provide to future visitors based on the expected value of the future website content; and

providing the selected content over the Internet using computers connected to the Internet.

2. The method of claim 1, wherein the website visitor passive parameters are selected from data in a browser agent, time of day when visiting websites, and IP address for the website visitors.

3. The method of claim 1, wherein generating anonymous statistical mappings using direct mapping method includes statistical techniques to estimate the likelihood that the website visitor has a specific characteristic to generate the anonymous statistical mappings.

4. The method of claim 1, wherein generating anonymous statistical mappings using direct mapping method comprises using Multi-Factor Mapping to estimate the likelihood that the website visitor has a specific characteristic to generate the anonymous statistical mappings.

5. The method of claim 2, wherein the browser agent data comprises a set of parameters sent to a website by the website visitor visiting the website to help the website determine how to format content to send to the website visitor, such passive parameters passively available when the website visitor visits the website without the website requesting information from the website visitor and without attempting to interrogate the website visitors computer.

6. The method of claim 1, wherein obtaining the multiplicity of anonymous website visitor passive parameters consists of obtaining records solely from server log files.