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METHOD FOR DATA MINING THE STATISTICS OF AN INTERNET YELLOW PAGES WEB SERVICE

IP.com Disclosure Number: IPCOM000013561D
Original Publication Date: 2000-Jun-01
Included in the Prior Art Database: 2003-Jun-18

Publishing Venue

IBM

Abstract

Data Mining an Internet Yellow Pages Web Service Disclosed is the creation and use of a data mining technique for an internet yellow pages web site. It is described here as a solution for yellow pages, but the method can apply to other industries as well. A yellow pages publisher or owner of an internet yellow pages web service, needs information pertaining to the use of the site often referred to as "statistics" for billing. Some typical yellow pages statistics include: number of times a particular category is selected for a search; number of times during a specific time period that a specific business listing is accessed or accessed in a specific location or accessed with a particular category. Traditional web servers such as Lotus Domino Go Webserver log all incoming requests (from a web browser) into what is referred to here as a web server access log. This log contains the component on the web server that was called and the parameters that were given to it. When a request for information is sent from an internet client to a web service, the request is logged. While the web server access log provides a map of all requests that come into the web site, and requires no special code to be written in the web service for an entry to appear, it does not contain sufficient information for the detailed statistics required by a yellow pages solution.