A Platform to Support Web Site Adaptation and Monitoring of its Effects: A Case Study

Marcos Aurélio Domingues, Alípio M. Jorge, Carlos Soares, José Paulo Leal, Pedro Machado

In this paper we describe a platform that enables Web site automation and monitoring. The platform automatically gathers high quality site activity data, both from the server and client sides. Web adapters, such as recommender systems, can be easily plugged into the platform, and take advantage of the up-to-date activity data. The platform also includes a module to support the editor of the site to monitor and assess the effects of automation. We illustrate the features of the platform on a case study, where we show how it can be used to gather information not only to model the behavior of users but also the impact of the personalization mechanism.

Subjects: 12. Machine Learning and Discovery; 1. Applications

Submitted: May 9, 2008

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