MAIA, A. C. J.; http://lattes.cnpq.br/5864710077457656; MAIA, Ana Carolina de Jesus.
Resumo:
The fast growth and popularity of the World Wide Web have widely facilitated the access to information. At the same time, this growth has render more difficult the tasks to collect, to filter, to evaluate and to use this large amount of information. The information only starts to have real value when filtered according to the necessities of the user. Recommender Systems are information systems that filter contents for a definite user based on its preferences. To automatize the information retrieval in the Web, the vision of the Semantic Web is searching to define an infrastructure capable to allow that the meaning of the available information in the Web is understandable for machines (computer-readable). We have come across with the rise of some technologies that make possible the communication between computers in the Web, as for example RDF and Web services. In this thesis we present a recommender system for creation of tourist and
business trip plan, called SEI-Tur (Serviço de Informações Turísticas). SEI-Tur is a
recommender system that uses data in the Web and has the purpose to suggest to the
user itens of a trip, based on its preferences, and composes a complete script of the
trip, keeping the consistency between the elements of the trip.