Abstract
The proposed research aims to integrate contextual information with tourist spot recommender system. Ubiquitous crowdsourcing model has been used for collecting the contextual information using fuzzy linguistic values in current time. The existing tourist spot recommender systems give list tourist spots along with their ratings. Proposed model takes this list as an input and the current fuzzy contextual information collected from crowd present at the spot and computes a new score for each spot/location. This new score not only conveys the popularity of a spot in vicinity but also advices whether this spot is worth visiting at given point in time. A prototype system has been implemented using java and MATLAB and is evaluated by 104 real users.
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