To make the travel healthier: a new tourism personalized route recommendation algorithm-Reference-Cited by-同舟云学术

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To make the travel healthier: a new tourism personalized route recommendation algorithm

Published:2018-10-19 Issue:9 Volume:10 Page:3551-3562
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Du Siyuan,Zhang Hua,Xu Hualin,Yang Jirui,Tu Oscar

Funder

Sichuan Federation of Social Science Associations

The Ministry of Culture and Tourism

The Education Department of Sichuan Province

The cooperation and innovation center of the competitiveness of Sichuan and Tibet tourism industry

Sichuan Tourism University

Sichuan Tourism Research Center

Chengdu Science and Technology Bureau

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

http://link.springer.com/content/pdf/10.1007/s12652-018-1081-z.pdf

Reference20 articles.

1. Basiri A, Amirian P, Winstanley A, Moore T (2018) Making tourist guidance systems more intelligent, adaptive and personalised using crowd sourced movement data. J Ambient Intell Hum Comput 9:413. https://doi.org/10.1007/s12652-017-0550-0

2. Cheng AJ, Chen YY, Huang YT, Hsu WH, Liao HYM (2011) Personalized travel recommendation by mining people attributes from community-contributed photos. In: Proceedings of the 19th ACM international conference on Multimedia. ACM, pp 83–92

3. Cich G, Knapen L, Bellemans T, Janssens D, Wets G (2016) Threshold settings for TRIP/STOP detection in GPS traces. J Ambient Intell Human Comput 7:395. https://doi.org/10.1007/s12652-016-0360-9

4. Ge Y, Liu Q, Xiong H, Tuzhilin A, Chen J (2011) Cost-aware travel tour recommendation. In: Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining. ACM, pp 983–991

5. Guo T, Guo B, Ouyang Y, Yu Z, Lam JC, Li VO (2017) CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data. J Ambient Intell Hum Comput. https://doi.org/10.1007/s12652-017-0492-6

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