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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Business Intelligence and Data Mining
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
