Search System in a Virtual Learning Environment Based on Profiles

Abstract

This work aims to model and implement the search part of a virtual learning environment, taking into account both the group profile of the user performing the search and their individual profile. This type of search modeling allows documents that are closer to the user's needs and therefore more relevant to them to be presented as search results. Throughout the work, the proposal is described, as well as the development process adopted for the work. The methodology used for the work revolves around studies of already implemented solutions for defining group profiles and individual profiles, in addition to composing (integrating) these implementations and building the search associated with this composition. As a result of this work, an environment was developed capable of presenting HTML pages with content relevant to the user, based on a search performed by them and based on their profile.