UM MODELO DE SISTEMA DE FILTRAGEM HÍBRIDA PARA UM AMBIENTE COLABORATIVO DE ENSINO APRENDIZAGEM

Abstract

Nowadays, the World Wide Web (WWW) is an excellent source of information. However, open issues carry on. It´s difficult obtain relevant information in short time. Moreover, there is no accuracy for retrieving this information. Servers such as Google, Altavista and Cadê, can retrieve a huge amount of information. Nonetheless, the retrieved information could be not relevant. The information filtering systems arise to aim users in the searching for relevant information. This work proposes a hybrid model of filtering information based on content-based filtering and collaborative filtering. This model has been used into a collaborative learning system named NetClass and it was developed using the PASSI methodology. A case study done with CEFET´s students is presented as well.