An Adaptive neural network for understanding website usage patterns

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Title: An Adaptive neural network for understanding website usage patterns
Author: Perotti, Victor; Kiran, Raj
Abstract: As the importance of the Internet rises, the need to create more adaptive and more usable web sites also grows. Most improvements to a website requires some knowledge of the site's users and how they are interacting with the pages. However, web professionals today have relatively few good options for capturing this information. Certainly, there are software and services to help summarize the basic information from the web site logs. This could mean keeping track of the frequency of visits for the individual web pages that make up a site counting how many times the overall web site is visited from a specific web location, or other basic statistics.
Record URI: http://hdl.handle.net/1850/8157
Date: 2002

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