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Tourist recommendation system are aimed at supporting the critical travel planning decisions the tourist face before starting the trip or on the course of travel. Users desire more efficient ways to find tourism recommendations which can save time and efforts. Geo-tagged photos on social media sites such as lickr provide plentiful location based data. Recently, there is an increased tendency to utilize the information contained in these geo-tagged photos for tourist recommendations. In this paper, we have proposed a framework for tourist recommendation. The proposed approach involves mining significant tourist locations and provide trip model based on the geo-tagged photos of users on social media sites.

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