A hybrid ensemble learning method for tourist route recommendations based on geo-tagged social networks

Author:

Wan Lin1ORCID,Hong Yuming1ORCID,Huang Zhou2ORCID,Peng Xia3,Li Ran4

Affiliation:

1. Faculty of Information Engineering, China University of Geosciences, Wuhan, China

2. Institute of Remote Sensing & GIS, Peking University, Beijing, China

3. Institute of Tourism, Beijing Union University, Beijing, China

4. Information Center, Hubei Geological Environment Station, Wuhan, China

Funder

National Natural Science Foundation of China

Beijing Municipal Commission of Education

Beijing Union University

Publisher

Informa UK Limited

Subject

Library and Information Sciences,Geography, Planning and Development,Information Systems

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3. Enhancing the K-Means Algorithm through a Genetic Algorithm Based on Survey and Social Media Tourism Objectives for Tourism Path Recommendations;ISPRS International Journal of Geo-Information;2024-01-27

4. Harnessing Extracted Social Media Events for Personalized Travel Sequences;Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising;2023-11-13

5. Research on user-generated photos in tourism and hospitality: A systematic review and way forward;Tourism Management;2023-06

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