A Review on Content Based Recommender Systems in Tourism-Reference-Cited by-同舟云学术

A Review on Content Based Recommender Systems in Tourism

Published:2021 Issue: Volume: Page:527-541
ISSN:2367-3370
Container-title:Digital Technologies and Applications
language:
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Author:

Bentaleb Asmae,El Bouzekri El Idrissi Younès,Ait Lahcen Ayoub

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-73882-2_48

Reference43 articles.

1. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state of the art and possible extensions. IEEE Trans Knowl Data Eng 17:734–749

2. Kabassi K (2010) Personalizing recommendations for tourists. Telemat Inform 27(1):51–66

3. Schafer JB, Konstan JA, Riedl J (2001) E-commerce recommendation applications. Data Mining Knowl Discov 5(1/2):115–153

4. Adomavicius G, Tuzhilin A (2005) Personalization technologies: a process-oriented perspective. Commun ACM 48(10):83–90

5. Roger Ciurana Simó E (2012) Development of a tourism recommender system. https://upcommons.upc.edu/bitstream/handle/2099.1/16444/Emili%20Ciurana%20Simo%20MIA.pdf. Accessed 30 Sept 2020

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. User Needs for Explanations of Recommendations: In-depth Analyses of the Role of Item Domain and Personal Characteristics;Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization;2023-06-18

2. Real-Time Context-Aware Recommendation System for Tourism;Sensors;2023-04-02

3. Towards an approach for online evaluation of new variants of content-based POI recommender systems by mobile tourists;2022 First International Conference on Big Data, IoT, Web Intelligence and Applications (BIWA);2022-12-11