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Authors: Wei Sun 1 ; Yang Cong 1 ; Xiaoli Liu 2 and Chengming Li 2

Affiliations: 1 College of Geomatics, Shandong University of Science and Technology, Qingdao and China ; 2 Chinese Academy of Surveying and Mapping, Beijing and China

Keyword(s): Point of Interest Search Method, Spatial Heat and Scoring Algorithm.

Abstract: 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.

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Paper citation in several formats:
Sun, W., Cong, Y., Liu, X. and Li, C. (2019). A Point of Interest Intelligent Search Method based on Browsing History. In Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM; ISBN 978-989-758-371-1; ISSN 2184-500X, SciTePress, pages 189-192. DOI: 10.5220/0007712301890192

@conference{gistam19,
author={Wei Sun and Yang Cong and Xiaoli Liu and Chengming Li},
title={A Point of Interest Intelligent Search Method based on Browsing History},
booktitle={Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM},
year={2019},
pages={189-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007712301890192},
isbn={978-989-758-371-1},
issn={2184-500X},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Geographical Information Systems Theory, Applications and Management - GISTAM
TI - A Point of Interest Intelligent Search Method based on Browsing History
SN - 978-989-758-371-1
IS - 2184-500X
AU - Sun, W.
AU - Cong, Y.
AU - Liu, X.
AU - Li, C.
PY - 2019
SP - 189
EP - 192
DO - 10.5220/0007712301890192
PB - SciTePress

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