1. [1] V. Soltani and M. Kargar, "A mobile-based hybrid advocate for individual and group tourists", International Conference on Development, Focusing on Agriculture, Environment and Tourism, Iran, Tabriz, 2014 (Persian).

2. [2] N. Mushtaghi, Kh.Vahdatnejad, and G. Ghasemi, "Provide a tour-aware guide system to the field for group tourists", Journal of Tourism Planning and Development, 6 (23), 59-76, 2017 (Persian).

3. [3] A. Toghyani, A. Rajabzadeh, A. Azar, "Designing a decision-making model in conditions of uncertainty." New researches in decision making, 1 (1), 2016 (Persian).

4. [4] L. Ardissono, A. Goy, G. Petrone, M. Segnan, and P. Torasso, "Intrigue: personalized recommendation of tourist attractions for desktop and hand held devices". Applied artificial intelligence, 17(8-9), 687-714, 2003.

5. [5] J. Mast off, "Group recommender systems: aggregation, satisfaction and group attributes", In recommender systems handbook (pp. 743-776). Springer, Boston, MA, 2015.

6. [6] I. Christensen, S. Schiaffino and M. Armentano, "Social group recommendation in the tourism domain", Journal of Intelligent Information Systems, 47(2), 209-231, 2016.

7. [7] L. M. de Campos, J.M. Fernández-Luna, J. F. Hate and M.A. Rueda-Morales, "Managing uncertainty in group recommending processes", User Modeling and User-Adapted Interaction, 19(3), 207-242, 2009.

8. [8] I. Garcia, L. Sebastian and E. Oneida, "On the design of individual and group recommender systems for tourism", Expert systems with applications, 38(6), 7683-7692, 2011.

9. [9] A. Jameson, "More than the sum of its members: challenges for group recommender systems", In Proceedings of the working conference on Advanced visual interfaces (pp. 48-54). ACM, 2004.

10. [10] K. McCarthy, L. McGinty, B. Smyth and M.Salamó, "The needs of the many: a case-based group recommender system", In European Conference on Case-Based Reasoning (pp. 196-210). Springer, Berlin, Heidelberg, 2006.

11. [11] T.N. Nguyen and F. Ricci, "A chat-based group recommender system for tourism", Information Technology & Tourism, 18(1-4), 5-28, 2018.

12. [12] G. Fenza, E. Fischetti, D. Furno and V. Loia, "A hybrid context aware system for tourist guidance based on collaborative filtering", In Fuzzy Systems (FUZZ), 2011 IEEE International Conference on (pp. 131-138). IEEE, 2011.

13. [13] L. Castillo, E. Armengol, E. Onaindía, L. Sebastiá, J. González-Boticario, A. Rodríguez and D.Borrajo, "SAMAP: An user-oriented adaptive system for planning tourist visits", Expert Systems with Applications, 34(2), 1318-1332, 2008.

14. [14] J. Bores, A. Moren and A. Valles, "Intelligent tourism recommender systems: A survey", Expert Systems with Applications, 41(16), 7370-7389, 2014.

15. [15] S.K. Andersen, "Probabilistic reasoning in intelligent systems: networks of plausible inference Judea Pearl", Artificial Intelligence,(48)(1), 117-124, 1991.

16. [16] F.M. Hsu, Y.T. Lin and T.K. Ho, "Design and implementation of an intelligent recommendation system for tourist attractions: The integration of EBM model Bayesian network and Google Maps", Expert Systems with Applications, 39(3), 3257-3264, 2012.

17. [17] W. Wang, G. Zhang J. Lu, Member contribution-based group recommender system Author links open overlay panel, Decision Support Systems (87), 80-93, 2016.

18. [18] E. Khazaei and A. Alimohammadi, "Context-Aware Group-Oriented Location Recommendation in Location-Based Social Networks", ISPRS Int. J. Geo-Inf. 8(9), 406, 2019. [DOI:10.3390/ijgi8090406]

19. [19] K. R., P. Kumar, B. Bhasker, "DNNRec: A novel deep learning based hybrid recommender system author links open overlay panel, Expert Systems with Applications, 144, 2020, 113054.

20. [20] F. Pajuelo-Holguera, J.A. Gómez-Pulido, F. Ortega, J.M. Granado-Criado, "Recommender system implementations for embedded collaborative filtering applications", Microprocessors and Microsystems, 2020, [DOI:10.1016/j.micpro.2020.102997]

21. [21] J. Pinho, B.E. da Silva, M.N. Moreno, A.M. de Almeida and C.L. Martins, "Applying recommender methodologies in tourism sector, highlights in practical applications of agents and multiagent systems", Advances in Intelligent and Soft Computing, 89, 101-108, 2011.

22. [22] C. Lamsfus, A. Alzua-Sorzabal, D. Martín, Z. Salvador, and A. Usandizag, "Human-centric Ontology-based Context Modelling in Tourism", In KEOD (pp. 424-434), 2009.

23. [23] A. Sarafrazi, "Mid-century after clustering, assessment and evaluation of approaches and clustering method using MCDA", Researches in science, engineering and technology, June, 4:65-84, 2018.

24. [24] S.J. Russell, and P. Norvig, "Artificial intelligence: a modern approach", Malaysia; Pearson Education Limited, 2016.

25. [25] L.Borate, and S.Carta, "State-of-the-art in group recommendation and new approaches for automatic identification of groups", In Information retrieval and mining in distributed environments (pp. 1-20). Springer, Berlin, Heidelberg, 2016.

26. [26] S. Shang, P. Hui, S.R. Kulkarni and P.W. Cuff , "Wisdom of the crowd: Incorporating social influence in recommendation models", In Parallel and Distributed Systems (ICPADS), 2011 IEEE 17th International Conference on (pp. 835-840). IEEE, 2011.

27. [27] S. Pizzutilo, B. De Carols, G. Cozzolongo and F. Ambrose, "Group modeling in a public space: methods, techniques, experiences", In Proceedings of the 5th WSEAS International Conference on Applied Informatics and Communications (pp. 175-180), World Scientific and Engineering Academy and Society (WSEAS), 2005.

28. [28] J.F. McCarthy and T.D. Antagonist, "Music: an arbiter of group preferences for computer supported collaborative workouts", In Proceedings of the 1998 ACM conference on Computer supported cooperative work (pp. 363-372). ACM, 1998.

29. [29] J.F. McCarthy, "Pocket restaurantfinder: A situated recommender system for groups", Workshop on Mobile Ad-Hoc Communication at the 2002 ACM Conference on Human Factors in Computer Systems, 2002.

30. [30] L. Borate and S. Carta, "ART: group recommendation approaches for automatically detected groups". International Journal of Machine Learning and Cybernetics, 6(6), 953-980, 2015.

31. [31] N. Dharaneeshwaran, A. Srinivasan, S. Nithya, M. Senthilkumar , "Calculating the User-item Similarity using Pearson's and Cosine Correlation Senthilkumar M", International Conference on Trends in Electronics and Informatics, ICEI 2017.

32. [32] D. Goren-Bar and O. Glinansky, " FIT-recommend in TV programs to family members", Computers & Graphics, 28(2), 149-156, 2004.