A Dynamic Tourism Recommendation System
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1909-3_44
Reference11 articles.
1. Chen X, Liu Q, Qiao X (2020) Approaching another tourism recommender. In: 2020 IEEE 20th International conference on software quality, reliability and security companion (QRS-C), Macau, China, pp 556–562. https://doi.org/10.1109/QRS-C51114.2020.00097
2. Nafis F, Fararni KA, Yahyaouy A, Aghoutane B (2020) Towards a semantic recommender system for cultural objects: Case study Draa-Tafilalet region. In: 2020 International conference on intelligent systems and computer vision (ISCV), Fez, Morocco, pp 1–4. https://doi.org/10.1109/ISCV49265.2020.9204187
3. Aarab Z, Elghazi A, Saidi R, Rahmani MD (2018) Toward a smart tourism recommender system: applied to Tangier City. https://doi.org/10.1007/978-3-319-74500-8_59
4. Logesh R, Subramaniyaswamy V (2019) Exploring hybrid recommender systems for personalized travel applications. In: Mallick P, Balas V, Bhoi A, Zobaa A (eds) Cognitive informatics and soft computing. advances in intelligent systems and computing, vol 768. Springer, Singapore. https://doi.org/10.1007/978-981-13-0617-4_52
5. Yochum P, Chang L, Gu T, Zhu M (2020) Linked open data in location-based recommendation system on tourism domain: a survey. IEEE Access 8:16409–16439. https://doi.org/10.1109/ACCESS.2020.2967120
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