PROPOSTA DE MODELO ADAPTATIVO PARA GERAÇÃO DE CONTEXTOS NA RECOMENDAÇÃO DE LOCAIS

Recommender Systems took an importante place in Internet to item recommendation for users. However, many Point-of-Interest(POI) Recommender Systems work with only one contexto for each user but user can be in many contexts at the same time. This work proposes an adaptive model for creation of multiples contexts for same user and thus, Recommender System can make better recommendations.