Toward an intelligent tourism recommendation system based on artificial intelligence and IoT using Apriori algorithm
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09330-2.pdf
Reference43 articles.
1. Al Fararni K, Nafis F, Aghoutane B, Yahyaouy A, Riffi J, Sabri A (2021) Hybrid recommender system for tourism based on big data and AI: a conceptual framework. Big Data Min Anal 4(1):47–55
2. Ali M, Yin B, Kumar A, Sheikh AM, et al. (2020) Reduction of Multiplications in Convolutional Neural Networks. In 2020 39th Chinese Control Conference (CCC) (pp. 7406–7411). IEEE. DOI: https://doi.org/10.23919/CCC50068.2020.9188843
3. Arif YM, Harini S, Nugroho SMS, Hariadi M (2021) An automatic scenario control in serious game to visualize tourism destinations recommendation. IEEE Access 9:89941–89957
4. Aslam MS, Dai X, Hou J, Li Q, Ullah R, Ni Z, Liu Y (2020) Reliable control design for composite-driven scheme based on delay networked T-S fuzzy system. Int J Robust Nonlinear Control 30(4):1622–1642
5. Cao B, Zhao J, Lv Z, Yang P (2020) Diversified personalized recommendation optimization based on mobile data. IEEE Trans Intell Transp Syst 22(4):2133–2139
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