Recommendation & mobile systems - a state of the art for tourism

• Autor(es): Luz, Nuno ; Anacleto, Ricardo ; Almeida, Ana ; Figueiredo, Lino
• Data: 2010
• Identificador Persistente: http://hdl.handle.net/10400.22/1467
• Origem: Repositório Científico do Instituto Politécnico do Porto
• Assunto(s): Tourism; Adaptive recommendation; Mobile system; Collaborative filtering
• Tipo de Documento: Documento de conferência
• Idioma: Inglês

Descrição

Recommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages.