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Many next POI recommendation systems have taken temporal factors into consideration to improve the recommendation accuracy. To capture time-based user behavior, most of the recommendation systems divided a day into segments. However, these methods did not comprehensively take long-term temporal variations into consideration.
Many next POI recommendation systems integrated geographical factors through various means into model. One popular approach is to employ a direct distance calculation to evaluate spatial proximity between POIs. However, these methods did not take the relative positioning and density of POIs within specific geographical zones into consideration.
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