Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis-Reference-Cited by-同舟云学术

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Personalized travel recommendation: a hybrid method with collaborative filtering and social network analysis

Published:2021-12-29 Issue: Volume: Page:1-19
ISSN:1368-3500
Container-title:Current Issues in Tourism
language:en
Short-container-title:Current Issues in Tourism

Author:

Chang Jia-Li¹,Li Hui¹^ORCID,Bi Jian-Wu¹

Affiliation:

1. College of Tourism and Service Management, Nankai University, Tianjin, People’s Republic of China

Funder

National Natural Science Foundation of China

Liberal Arts Development Fund of Nankai University

China Postdoctoral Science Foundation

Fundamental Research Funds for the Central Universities

Humanities and Social Science Fund of Ministry of Education of China

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/13683500.2021.2014792

Reference29 articles.

1. Controlling Popularity Bias in Learning-to-Rank Recommendation

2. Open data in the hotel industry: leveraging forthcoming events for hotel recommendation

3. A two-stage multiple-factor aware method for travel product recommendation

4. Social network data to alleviate cold-start in recommender system: A systematic review

5. A novel tourism recommender system in the context of social commerce

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4. Design Method for Travel E-commerce Platform Based on HHO imparoved K-means Clustering Algorithm;ICST Transactions on Scalable Information Systems;2024-04-26

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