Building a Recommendation System for Travel Location Based on User Check-Ins on Social Network-Reference-Cited by-同舟云学术

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Building a Recommendation System for Travel Location Based on User Check-Ins on Social Network

Published:2023 Issue: Volume: Page:713-724
ISSN:2367-3370
Container-title:Information and Communication Technology for Competitive Strategies (ICTCS 2022)
language:
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Author:

Hung Phan Duy,Son Doan Ngoc,Diep Vu Thu

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-9638-2_62

Reference11 articles.

1. Carlos AG-U, Hunt N (2016) The Netflix recommender system: algorithms, business value, and innovation. ACM Trans Manage Inf Syst 6(4):19, Article 13

2. Wang H, Terrovitis M, Mamoulis N (2013) Location recommendation in location-based social networks using user check-in data. In: Proceedings of the 21st ACM SIGSPATIAL international conference on advances in geographic information systems (SIGSPATIAL’13). Association for Computing Machinery, New York, NY, USA, pp 374–383

3. Kosmides P, Remoundou C, Demestichas K, Loumiotis I, Adamopoulou E, Theologou M (2014) A location recommender system for location-based social networks. In: Proceedings of the international conference on mathematics and computers in sciences and in industry, pp 277–280

4. Specht DF (1990) Probabilistic neural networks 3(1):109–118

5. Ji R, Tian Y, Ma M (2020) Collaborative filtering recommendation algorithm based on user characteristics. In: Proceedings of the 5th international conference on control, robotics and cybernetics (CRC)

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