摘要：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.
其他摘要：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.
关键词：Recommender Systems;Adaptive Technology;Geolocalization;Sistemas de Recomendação;Adaptatividade;Geolocalização
