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Point of interest search is one of the core search functions in GIS. The conventional methods may not be able to personalize search results because the user’s personal interests are not taken into account. In order to address this problem, this article proposes a point of interest intelligent search method based on the user’s browsing history of map tiles. First, analyze the user’s map tile browsing history data on a smart city platform and visualize the user’s focal hotspots through a heat map to derive the spatial heat. Second, add the spatial heat influence factor to the attribute query to influence the search results of point of interest, so that the results are more consistent with the user's search intention and corresponding services are offered to different users based on their hotspots. Finally, an experiment with point of interest data from the City of Tengzhou verifies the effectiveness and advantage of the method proposed by this article.

A Point of Interest Intelligent Search Method based on Browsing History