POIs Category Recommendation for Cultural Country Travel Enterprises Based on Check-In Information

Lei Liu, Ashish Kr. Luhach, Myung-hee Lee

Source Title: Journal of Global Information Management (JGIM)30(11)

ISSN: 1062-7375|EISSN: 1533-7995|EISBN13: 9781668464434|DOI: 10.4018/JGIM.303109

MLA

Liu, Lei, et al. "POIs Category Recommendation for Cultural Country Travel Enterprises Based on Check-In Information." JGIM vol.30, no.11 2022: pp.1-15. http://doi.org/10.4018/JGIM.303109

APA

Liu, L., Luhach, A. K., & Lee, M. (2022). POIs Category Recommendation for Cultural Country Travel Enterprises Based on Check-In Information. Journal of Global Information Management (JGIM), 30(11), 1-15. http://doi.org/10.4018/JGIM.303109

Chicago

Liu, Lei, Ashish Kr. Luhach, and Myung-hee Lee. "POIs Category Recommendation for Cultural Country Travel Enterprises Based on Check-In Information," Journal of Global Information Management (JGIM) 30, no.11: 1-15. http://doi.org/10.4018/JGIM.303109

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Abstract

With the ever-increasing popularity of traveling markets, more people are willing to spend their time and enjoy life by visiting some points of interest (POI) especially for the citizens living in cities. Therefore, it is of practical and significant value for travel enterprises to recommend appropriate country POIs to target travelers. However, the massive POIs as well as their diversity place a heavy burden on the POIs recommendation decision making especially when the available historical traveler-POIs check-in data are very sparse. In view of this challenge, the authors put forward a novel cultural country POIs category recommendation method based on historical knowledge and experienced information (e.g., check-in time and POIs category, i.e., CPCR). At last, CPCR method is evaluated via experiments on WS-DREAM dataset.