Intelligent recommendation model of tourist places based on collaborative filtering and user preferences

References

• Alhamid, M. F., M. Rawashdeh, H. Dong, M. A. Hossain, and A. El Saddik. 2016. Exploring latent preferences for context-aware personalized recommendation systems. IEEE Transactions on Human-Machine Systems 46 (4):615–1224. doi:10.1109/THMS.2015.2509965.
   Web of Science ®Google Scholar
• Bai, M. L., R. Pamula, and P. Kumar Jain. 2019. Tourist recommender system using hybrid filtering. In 2019 4th International Conference on Information Systems and Computer Networks (ISCON), 746–49. doi:10.1109/ISCON47742.2019.9036308.
   Google Scholar
• Chen, C., J. Jiang, and R. Fu. 2021. An intelligent caching strategy considering time-space characteristics in vehicular named data networks. IEEE Transactions on Intelligent Transportation Systems.
   Google Scholar
• Chen, C., J. Jiang, Y. Zhou, N. Lv, X. Liang, and S. Wan. 2022. An edge intelligence empowered flooding process prediction using internet of things in smart city. Journal of Parallel and Distributed Computing 165:66–78. doi:10.1016/j.jpdc.2022.03.010.
   Web of Science ®Google Scholar
• Chen, L., Z. Wu, J. Cao, G. Zhu, and Y. Ge. 2020. Travel recommendation via fusing multi-auxiliary information into matrix factorization[J. ACM Transactions on Intelligent Systems and Technology (TIST 11 (2):1–24. doi:10.1145/3372118.
   PubMed Web of Science ®Google Scholar
• Chen, C., Y. Zeng, and H. Li. 2022. A multi-hop task offloading decision model in MEC-Enabled internet of vehicles. IEEE Internet of Things Journal.
   Google Scholar
• Cui, G., J. Luo, and X. Wang. 2018. Personalized travel route recommendation using collaborative filtering based on GPS trajectories. International Journal of Digital Earth 11 (3):284–307. doi:10.1080/17538947.2017.1326535.
   Web of Science ®Google Scholar
• Du, J., C. Jiang, Z. Han, H. Zhang, S. Mumtaz, and Y. Ren. 2019. Contract mechanism and performance analysis for data transaction in mobile social networks. IEEE Transactions on Network Science and Engineering 6 (2):103–15. doi:10.1109/TNSE.2017.2787746.
   Web of Science ®Google Scholar
• Floegel, D. 2020. Labor, classification and productions of culture on Netflix[J]. Journal of Documentation 77 (1):209–28. doi:10.1108/JD-06-2020-0108.
   Web of Science ®Google Scholar
• Fu, W., J. Liu, and Y. Lai. 2019. Collaborative filtering recommendation algorithm towards intelligent community. Discrete & Continuous Dynamical Systems-S 12 (4 & 5):811. doi:10.3934/dcdss.2019054.
   Google Scholar
• Gasmi, I., H. Seridi-Bouchelaghem, L. Hocine, and B. Abdelkarim. 2015. Collaborative filtering recommendation based on dynamic changes of user interest. Intelligent Decision Technologies 9 (3):271–81. doi:10.3233/IDT-140221.
   Google Scholar
• Gu, J. S., and Z. Liu. 2013. The improved collaborative filtering recommendation algorithm based on cloud model[C]//Applied mechanics and materials, vol. 411. Trans Tech Publications Ltd.
   Google Scholar
• Hao, Y., and N. Song. 2021. Dynamic modeling and analysis of multidimensional hybrid recommendation algorithm in tourism itinerary planning under the background of big data. Discrete Dynamics in Nature and Society.
   Google Scholar
• Jain, P. K., R. Pamula, and G. Srivastava. 2021. A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews. Computer Science Review 41 (August):100413. doi:10.1016/j.cosrev.2021.100413.
   Google Scholar
• Jo, H. J., and P. K. Rhee. 2014. Distributed recommendation system using clustering-based collaborative filtering algorithm. The Journal of the Institute of Internet, Broadcasting and Communication 14 (1):101–07. doi:10.7236/JIIBC.2014.14.1.101.
   Google Scholar
• Li, X., and D. Li. 2019. An improved collaborative filtering recommendation algorithm and recommendation strategy[J]. Mobile Information Systems.
   Web of Science ®Google Scholar
• Lin, S., B. Zheng, G. C. Alexandropoulos, M. Wen, F. Chen, and S. Mumtaz. 2020. Adaptive transmission for reconfigurable intelligent surface-assisted OFDM wireless communications. IEEE Journal on Selected Areas in Communications 38 (11):2653–65. doi:10.1109/JSAC.2020.3007038.
   Web of Science ®Google Scholar
• Memon, I., L. Chen, A. Majid, M. Lv, I. Hussain, and G. Chen. 2015. Travel recommendation using geo-tagged photos in social media for tourist. Wireless Personal Communications 80 (4):1347–62. doi:10.1007/s11277-014-2082-7.
   Web of Science ®Google Scholar
• Nguyen, J., and M. Zhu. 2013. Content‐boosted matrix factorization techniques for recommender systems. Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (4):286–301. doi:10.1002/sam.11184.
   Web of Science ®Google Scholar
• Pan, X., W. Zhou, Y. Lu, and R. Li. 2017. User collaborative filtering recommendation algorithm based on adaptive parametric optimisation SSPSO. International Journal of Computing Science and Mathematics 8 (6):580–92. doi:10.1504/IJCSM.2017.088977.
   Google Scholar
• Pessemier, T. D., J. Dhondt, and L. Martens. 2017. Hybrid group recommendations for a travel service. Multimedia Tools and Applications 76 (2):2787–811. doi:10.1007/s11042-016-3265-x.
   Web of Science ®Google Scholar
• Ravi, L., V. Subramaniyaswamy, V. Vijayakumar, S. Chen, A. Karmel, and M. Devarajan. 2019. Hybrid location-based recommender system for mobility and travel planning. Mobile Networks and Applications 24 (4):1226–39. doi:10.1007/s11036-019-01260-4.
   Web of Science ®Google Scholar
• Smith, B., and G. Linden. 2017. Two decades of recommender systems at Amazon. Com[J]. IEEE Internet Computing 21 (3):12–18. doi:10.1109/MIC.2017.72.
   Web of Science ®Google Scholar
• Takashita, T., Y. Abe, T. Itokawa, T. Kitasuka, and M. Aritsugi. 2011. Design and implementation of a system for finding appropriate tags to photos in Flickr from web browsing behaviour. International Journal of Web and Grid Services 7 (1):75–90. doi:10.1504/IJWGS.2011.038385.
   Web of Science ®Google Scholar
• Wang, X., C. Wang, and J. Chen. 2021. Optimized gradient descent and pre-filled for svd recommendation algorithm. Journal of Nonlinear and Convex Analysis 22 (10):2073–88.
   Web of Science ®Google Scholar
• Xu, Z., L. Chen, and G. Chen. 2015. Topic based context-aware travel recommendation method exploiting geotagged photos. Neurocomputing 155:99–107. doi:10.1016/j.neucom.2014.12.043.
   Web of Science ®Google Scholar
• Yang, L., L. Wu, Y. Liu, and C. Kang. 2017. Quantifying tourist behavior patterns by travel motifs and geo-tagged photos from Flickr. ISPRS International Journal of Geo-Information 6 (11):345. doi:10.3390/ijgi6110345.
   Web of Science ®Google Scholar
• Zhang, C., X. Duan, F. Liu, X. Li, and S. Liu. 2022. Three-Way Naive Bayesian collaborative filtering recommendation model for smart city[J. Sustainable Cities and Society 76:103373. doi:10.1016/j.scs.2021.103373.
   Web of Science ®Google Scholar
• Zhang, T., W. Li, L. Wang, and J. Yang. 2020. Social recommendation algorithm based on stochastic gradient matrix decomposition in social network. Journal of Ambient Intelligence and Humanized Computing 11 (2):601–08. doi:10.1007/s12652-018-1167-7.
   Web of Science ®Google Scholar
• Zhang, Y., K. Meng, W. Kong, Z. Y. Dong, and F. Qian. 2019. Bayesian hybrid collaborative filtering-based residential electricity plan recommender system. IEEE Transactions on Industrial Informatics 15 (8):4731–41. doi:10.1109/TII.2019.2917318.
   Web of Science ®Google Scholar
• Zheng, N., Q. Li, S. Liao, and L. Zhang. 2010. Which photo groups should I choose? A comparative study of recommendation algorithms in Flickr. Journal of Information Science 36 (6):733–50. doi:10.1177/0165551510386164.
   Web of Science ®Google Scholar
• Zhu, L., L. Yu, and Z. Cai. 2019. Toward pattern and preference-aware travel route recommendation over location-based social networks. Journal of Information Science & Engineering 35:5.
   Web of Science ®Google Scholar