Hybrid approach for designing smart adaptive Web Sites

The very beginning of the research on Smart Adaptive Web Systems (SAWS). They are systems that adapt their response based on the context in which they are used. In AWS, three main sources of information have been identified are: user, environment, and technology. To design a site for adaptivity, the site s parts must be changeable according to users needs and interests. This paper represents a careful study of a large number of adaptive web systems which are used for adapting predesigned web pages and automatic synthesizing web pages. It suggests a new approach to extract the user s interest without the need of many visits to the web site or viewing the catalog in details. Different E-metrics are measured to evaluate the user s history, extract users interests, create adaptable interface, and synthesize a new page with special features referring to users needs and interests and also predict the next step the user may need.Facultad de Informátic

Simplifying Web Traversals By Recognizing Behavior Patterns

Web sites must often service a wide variety of clients. Thus, it is inevitable that a web site will allow some visitors to find their information quickly while other visitors have to follow many links to get to the information that they need. Worse, as web sites evolve, they may get worse over time so that all visitors have to follow many links to find the information that they need. This paper describes an extensible system that analyzes web logs to find and exploit opportunities for improving the navigation of a web site. The system is extensible in that the inefficiencies that it finds and eliminates are not predetermined; to search for a new kind of inefficiency, web site admininstrators can provide a pattern (in a language designed specifically for this) that finds and eliminates the new inefficiency