Clustering Method for Touristic Photographic Spots Recommendation-Reference-Cited by-同舟云学术

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Clustering Method for Touristic Photographic Spots Recommendation

Published:2022 Issue: Volume: Page:223-237
ISSN:0302-9743
Container-title:Advanced Data Mining and Applications
language:
Short-container-title:

Author:

Deseure-Charron Flavien,Djebali Sonia,Guérard Guillaume

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-22137-8_17

Reference22 articles.

1. Benabdellah, A.C., Benghabrit, A., Bouhaddou, I.: A survey of clustering algorithms for an industrial context. Procedia Comput. Sci. 148, 291–302 (2019)

2. Lecture Notes in Computer Science;H Berger,2007

3. Tourism, Hospitality & Event Management;MA Camilleri,2018

4. Cederholm, E.A.: The use of photo-elicitation in tourism research-framing the backpacker experience. Scand. J. Hosp. Tour. 4(3), 225–241 (2004)

5. Clements, M., Serdyukov, P., De Vries, A.P., Reinders, M.J.: Using flickr geotags to predict user travel behaviour. In: Proceedings of the 33rd International ACM SIGIR Conference, pp. 851–852 (2010)

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