Video Resources Recommendation for Online Tourism Teaching in Interactive Network-Reference-Cited by-同舟云学术

Video Resources Recommendation for Online Tourism Teaching in Interactive Network

Published:2023-09-05 Issue: Volume: Page:
ISSN:1383-469X
Container-title:Mobile Networks and Applications
language:en
Short-container-title:Mobile Netw Appl

Author:

Yang Yang,Shang Haitao,Jamal Nasir,Ullah Farhan

Funder

Jiangxi Province University Humanities and Social Sciences Research Project

Science and Technology Research Project of Jiangxi Provincial Department of Education

Jiangxi Province Higher Education Teaching Reform Research Project

Jiangxi Provincial Social Science Foundation Project

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s11036-023-02193-9.pdf

Reference23 articles.

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2. Liu Y, Lu L (2021) Personalized trust-based recommendation method for online tourism teaching video resources. J Ambient Intell Humaniz Comput 12(9):9905–9917

3. Shang J, Wang X, Zhang W, Liu J (2021) A personalized recommendation algorithm for online tourism teaching video resources based on user behavior and interest. IEEE Access 9:92533–92542

4. Li Y, Song R, Li D, Li H, Li H (2021) An online tourism teaching resource recommendation algorithm based on semantic understanding. J Comput Sci 54:101397

5. Wang Y, Liu Y, Zhou Y (2020) A hybrid recommendation algorithm for online tourism teaching video resources based on deep neural networks. Multimed Tools Appl 79(23):16249–16263

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