1. [1] N. Moshtaghi, H.Vahdat nejad, and M. Ghasemi Gol, "Provide context-aware tour guide system for group tourists," Journal of Tourism Planning and Development, 6, no. 23, pp. 59-76 ,1396 (Persian).

2. [2] A. Heidari Nik, and M. Talei, "Development of a Web GIS-Based recommendation System for Tourism," Journal of Space Planning and Planning (Lecturer of Humanities. Fall 2012), 16. no 3 (consecutive 75 ); pp.141 -159 , 1391(Persian).

3. [3] N. Neysani Samany, M.R. Delavar, N. Chrisman, and M.R. Malek, "An ontology for Spatial Relevant Objects in a Location-aware System: Case study: A tourist guide system", World Academy of Science, Engineering and Technology, vol.63, pp. 878-884, 2012.

4. [4] G.M. Harshvardhan, M.K. Gourisari, S.S. Rautaray, and M. Pandey, "UBMTR: Unsupervised Boltzmann machine-based time-aware recommendation system", Journal of King Saud University - Computer and Information Sciences, in press, 2021. [DOI:10.1016/j.jksuci.2021.01.017]

5. [5] J. Bobadilla, F. Ortega, A. Hernando, and J. Alcalá, "Improving collaborative filtering recommender system results and performance using genetic algorithms", Knowledge-Based Systems, vol.24, pp. 1310-1316, 2011. [DOI:10.1016/j.knosys.2011.06.005]

6. [6] H.S. Chiang, and H. Tien-Chi, "User-adapted travel planning system for personalized schedule recommendation", Information Fusion, vol.21, pp. 3-17, 2015. [DOI:10.1016/j.inffus.2013.05.011]

7. [7] X. Cai, Z. Hu, P. Zhao, W. Zhang, and J. Chen, "A hybrid recommendation system with many-objective evolutionary algorithm", Expert Systems with Applications, vol.159, 2020. [DOI:10.1016/j.eswa.2020.113648]

8. [8] K. Kabassi, "Personalizing recommendations for tourists", Telematics and Informatics, vol.27, pp. 51-66, 2010. [DOI:10.1016/j.tele.2009.05.003]

9. [9] D. Almazro, G. Shahatah, L. Albdulkarim, M. Kherees, R. Martinez, and W. Nzoukou, "A Survey Paper on Recommender Systems", ArXiv, 2010.

10. [10] I. García, L. Sebastia, and E. Onaindia, "On the design of individual and group recommender systems for tourism", Expert Systems with Applications, vol.38, pp. 7683-7692, 2011. [DOI:10.1016/j.eswa.2010.12.143]

11. [11] D. Gavalas, and M. Kenteris, "A web-based pervasive recommendation system for mobile tourist guides", Personal and Ubiquituous Computing, vol.15, pp. 759-770, 2011. [DOI:10.1007/s00779-011-0389-x]

12. [12] Z. Neisani, M. Torabi Azad, and N. Neysani Samani, "Design and Implementation of a User-Centered Tourism Guide System based on Weather Conditions Preferences", 2nd International Conference on Education, Management and Information Technology (ICEMIT), in Jinan, China. 2015.

13. [13] Sh. Ismaili, M. R. Malek, f. Nasery, "Designing an informed context recommendation system to select the desired tourist accommodation," The First International Conference on Human, Architecture, Civil Engineering and the City, Tabriz, 2015 (Persian).

14. [14] p. Goodarzi, A. A. Alesheikh, and S. Honarparvar, " Development of probabilistic place recommender algorithm based on location classification in location-based social networks based on temporal impact, spatial impact, and impact of social relations", Journal of Surveying Science and Technology, vol.7 . no: 2, pp. 215 - 230 , 1396(Persian).

15. [15] M. Aliannejadi, and F. Crestani, "Personalized Context-Aware Point of Interest Recommendation", ACM Transactions on Information Systems, vol.36. no 4, pp.1-28, 2018. [DOI:10.1145/3231933]

16. [16] He. Xiangnan, He. Zhankui, Du. Xiaoyu, Ch, Tat-Seng, "Adversarial Personalized Ranking for Recommendation", Conference: The 41st International ACM SIGIR Conferenc, pp. 355-364, 2018, DOI: 10.1145/3209978.3209981. [DOI:10.1145/3209978.3209981]

17. [17] M. Kolahkaj, A. Harounabadi, A. Nikravanshalmani, and R. Chinipardaz, "DBCACF: A Multidimensional Method for Tourist Recommendation Based on Users", Demographic, Context and Feedback", vol.24, pp. 209-219 , 2019( persian).

18. [18] G. Gungli, J. Hua, T. Yuan, J. Wu, Z. Jiang, H. Zhang, and T. Li, "Novel Recommendation System for Tourist Spots Based on Hierarchical Sampling Statistics and SVD++", Mathematical Problems in Engineering, pp. 1-15, 2019. [DOI:10.1155/2019/2072375]

19. [19] Z. Abbasi-Moud, H. Vahdat-Nejad, and J. Sadri ,"Tourism recommendation system based on semantic clustering and sentiment analysis", Expert Systems with Applications, vol167, 2021. [DOI:10.1016/j.eswa.2020.114324]

20. [20] R. Chen and H. Hendry , " User Rating Classification via Deep Belief Network Learning and Sentiment Analysis," IEEE Transactions on Computational Social Systems, vol. 6, no. 3, pp. 1-12, 2019. [DOI:10.1109/TCSS.2019.2915543]

21. [21] Y. Zhang and F. Liu, " An Improved Deep Belief Network Prediction Model Based on Knowledge Transfer", Future Internet, vol. 9, 2020; [DOI:10.3390/fi12110188.https://doi.org/10.3390/fi12110188]

22. [22] Chen, C., Wang, H., Yuan, F, "Bus travel time prediction based on deep belief network with back-propagation", Neural Comput & Applic, vol. 32, pp.10435-10449, 2020. [DOI:10.1007/s00521-019-04579-x.https://doi.org/10.1007/s00521-019-04579-x]

23. [23] F. Ghasemi, A. Fassihi, H. Pérez-Sánchez, and A. Dehnavi, "The role of different sampling methods in improving biological activity prediction using deep belief network", Journal of computational chemistry , vol.38, pp. 195-203, 2016. [DOI:10.1002/jcc.24671]

24. [24] A. Gunawardana, and G. Shani, "A Survey of Accuracy Evaluation Metrics of recommendation Tasks", Journal of Machine Learning Research, vol.10, 2009.

25. [25] Department Of Environment Islamic Republic of Iran [Online]. Available: . https://tehran.doe.ir/portal/home , ( 1400-06-19).

26. [26] Cochrane, L., and Zeleny, M. (editors), "Multiple Criteria Decision-making", (Columbia: University of South Carolina Press], 1973.