Innovative Research on Deep Learning Algorithm in Intelligent Attractions Recommendation Technology

[1] Chiang, H. S., Huang, T. C. (2015). User-adapted travel planning system for personalized schedule recommendation. Information Fusion, 21:3-17. Search in Google Scholar

[2] Chen, Gencai, Zhenxing, & Ling. (2015). Topic based context-aware travel recommendation method exploiting geotagged photos. Neurocomputing. Search in Google Scholar

[3] Chen, L., Cao, J., Wang, Y., et al. (2022). Multi-view Graph Attention Network for Travel Recommendation. Expert Systems with Applications, 191:116234-. Search in Google Scholar

[4] Kesorn, K., Juraphanthong, W., Salaiwarakul, A. (2017).Personalized attraction recommendation system for tourists through check-in data. IEEE access, 5, 26703-26721. Search in Google Scholar

[5] Xueting, L., & Jan, N. (2022). Personalized recommendation algorithm of tourist attractions based on transfer learning. Mathematical Problems in Engineering. Search in Google Scholar

[6] Park, S., & Kim, D. Y. (2017). Assessing language discrepancies between travelers and online travel recommendation systems: application of the jaccard distance score to web data mining. Technological Forecasting & Social Change, 123(oct.), 381-388. Search in Google Scholar

[7] Chen, C. C., & Tsai, J. L. (2017). Determinants of behavioral intention to use the personalized location-based mobile tourism application: an empirical study by integrating tam with issm. Future Generation Computer Systems, 96(JUL.), 628-638. Search in Google Scholar

[8] Chen, L., Cao, J., Zhu, G., et al. (2021). A multi-task learning approach for improving travel recommendation with keywords generation. Knowledge-Based Systems, 233, 107521-. Search in Google Scholar

[9] Zhang, L., Xu, J., Gong, Y., et al. (2021). Unsupervised Image and Text Fusion for Travel Information Enhancement. IEEE Transactions on Multimedia, PP(99), 1-1. Search in Google Scholar

[10] Wen, Y. T., Yeo, J., Peng, W. C., & Hwang, S. W. (2017). Efficient keyword-aware representative travel route recommendation. IEEE Transactions on Knowledge and Data Engineering. Search in Google Scholar

[11] Zhang, Z., Pan, H., Xu, G., et al. (2016). A Context-Awareness Personalized Tourist Attraction Recommendation Algorithm. Cybernetics and Information Technologies, 16(6), 146-159. Search in Google Scholar

[12] Shen, J., Deng, C., & Gao, X. (2016). Attraction recommendation: towards personalized tourism via collective intelligence. Neurocomputing, 173, 789-798. Search in Google Scholar

[13] Logesh, R., Subramaniyaswamy, V., Vijayakumar, V., & Li, X. (2018). Efficient user profiling based intelligent travel recommender system for individual and group of users. Mobile Networks and Applications, 24(3), 1018-1033. Search in Google Scholar

[14] Shi, Y., Serdyukov, P., Hanjalic, A., et al. (2013). Nontrivial landmark recommendation using geotagged photos. ACM Transactions on Intelligent Systems and Technology (TIST), 4(3), 47. Search in Google Scholar

[15] Borràs, J., Moreno, A., Valls, A. (2014). Intelligent tourism recommender systems: A survey.Expert systems with applications, 41(16), 7370-7389. Search in Google Scholar

[16] Xu, Z., Chen, L., Dai, Y., et al. (2017).A dynamic topic model and matrix factorization -based travel recommendation method exploiting ubiquitous data. IEEE Transactions on Multimedia, 19(8), 1933-1945. Search in Google Scholar

[17] Lim, K. H., Chan, J., Leckie, C., et al. (2018). Personalized trip recommendation for tourists based on user interests, points of interest visit durations and visit recency. Knowledge and Information Systems, 54(2), 375-406. Search in Google Scholar

[18] Jiang, S., Qian, X., Mei, T., et al. (2016). Personalized travel sequence recommendation on multi-source big social media. IEEE Transactions on Big Data, 2(1), 43-56. Search in Google Scholar

[19] Yang, M. (2022). An Intelligent Recommendation Method for Tourist Attractions Based on Deep Learning. Computational Intelligence and Neuroscience. Search in Google Scholar

[20] Leask, A. (2016). Visitor attraction management: A critical review of research 2009–2014. Tourism Management, 57, 334-361. Search in Google Scholar

[21] Zhang, H., Wu, Y., Buhalis, D. (2018). A model of perceived image, memorable tourism experiences and revisit intention. Journal of destination marketing & management, 8, 326-336. Search in Google Scholar