Personalized Recommendation Method of Rural Tourism Routes Based on Mobile Social Network

Author:

Liu Yi,Geng Qingqing

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Ghaderian, S., Wan, M.: The factors affecting personal information disclosure and usage continuance intention on mobile social networking services. Int. J. Adv. Res. 9(5), 235–244 (2021)

2. Kurikala, G., Gupta, G.: Mobile social networking below side-channel attacks: sensible security challenges. Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol. 2(2), 1076–1084 (2021)

3. Sleptsov, Y.A., Nikiforova, S.V., Meshcheryakov, K.Y., et al.: Features of tourist routes in the republic of Sakha: extreme tours, unique natural sites, archaeological and ritual attractions. Int. J. Agric. Ext. 9(4), 13–20 (2021)

4. Li, X., Li, J.W., Yu, N.: Tourist route recommendation method based on user needs. Comput. Eng. Des. 42(05), 1339–1345 (2021)

5. Sun, Z.Q., Luo, Y.L., Zheng, X.Y., et al.: Intelligent travel route recommendation method integrating user emotion and similarity. Comput. Sci. 48(S1), 226–230 (2021)

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