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Discovery of Points of Interest with Different Granularities for Tour Recommendation Using a City Adaptive Clustering Framework
2021
Acta Informatica Pragensia
Increasing demand for personalized tours for tourists travel in an urban area motivates more attention to points of interest (POI) and tour recommendation services. Recently, the granularity of POI has been discussed to provide more detailed information for tour planning, which supports both inside and outside routes that would improve tourists' travel experience. Such tour recommendation systems require a predefined POI database with different granularities, but existing POI discovery methods
doi:10.18267/j.aip.161
fatcat:xrbwrngj75d3zkitz5feuajpi4