masterThesis
Um framework de agentes de recomendação para sistemas Web
Fecha
2011-05-13Registro en:
MEDEIROS, Danielle Gomes de Freitas. Um framework de agentes de recomendação para sistemas Web. 2011. 112 f. Dissertação (Mestrado em Ciência da Computação) - Universidade Federal do Rio Grande do Norte, Natal, 2011.
Autor
Medeiros, Danielle Gomes de Freitas
Resumen
The World Wide Web has been consolidated over the last years as a standard
platform to provide software systems in the Internet. Nowadays, a great variety of
user applications are available on the Web, varying from corporate applications to the
banking domain, or from electronic commerce to the governmental domain. Given
the quantity of information available and the quantity of users dealing with their
services, many Web systems have sought to present recommendations of use as
part of their functionalities, in order to let the users to have a better usage of the
services available, based on their profile, history navigation and system use. In this
context, this dissertation proposes the development of an agent-based framework
that offers recommendations for users of Web systems. It involves the conception,
design and implementation of an object-oriented framework. The framework agents
can be plugged or unplugged in a non-invasive way in existing Web applications
using aspect-oriented techniques. The framework is evaluated through its
instantiation to three different Web systems