1. H. Yu, Y. Dan, L. Jing, and Z. Mu, "Research on Personalized Recommender System for Tourism Information Service," Comput. Eng. Intell. Syst, vol. 4, pp. 32-45, 2013.

2. W. Donggen and C. Tao, "A spatio-temporal data model for activity-based transport demand modeling," International Journal of Geographical Information Science, vol. 15, no. 6, pp. 561-585, 2001. [DOI:10.1080/13658810110046934]

3. L. Castillo et al., "SAMAP: An user-oriented adaptive system for planning tourist visits," Expert Systems with Applications, vol. 34, no. 2, pp. 1318-1332, 2008. [DOI:10.1016/j.eswa.2006.12.029]

4. C. M. Hall, Tourism planning: Policies, processes and relationships. Pearson Education, 2008.

6. K. Axel, "Location-based services: fundamentals and operation," John Wiely & Sons, 2005. [DOI:10.1145/1103039.1103045]

7. M. Espeter and M. Raubal, "Location-based decision support for user groups," Journal of Location Based Services, vol. 3, no. 3, pp. 165-187, 2009. [DOI:10.1080/17489720903339668]

8. Z. Zhang, H. Pan, G. Xu, Y. Wang, and P. Zhang, "A context-awareness personalized tourist attraction recommendation algorithm," Cybernetics and Information Technologies, vol. 16, no. 6, pp. 146-159, 2016. [DOI:10.1515/cait-2016-0084]

11. F. Lorenzi and F. Ricci, "Case-based recommender systems: A unifying view," in IJCAI Workshop on Intelligent Techniques for Web Personalization, 2003, pp. 89-113: Springer. [DOI:10.1007/11577935_5]

12. M. Montaner Rigall, Collaborative recommender agents based on case-based reasoning and trust. Universitat de Girona, 2003.

13. M. Aldayel and H. Benhidour, "Product Recommendation in Case-based Reasoning," in 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS), 2019, pp. 1-6: IEEE. [DOI:10.1109/CAIS.2019.8769523]

14. B. D. Fatmawatie and Z. Baizal, "Tourism recommender system using Case Based Reasoning Approach (Case Study: Bandung Raya Area)," in Journal of Physics: Conference Series, 2019, vol. 1192, no. 1, p. 012050: IOP Publishing. [DOI:10.1088/1742-6596/1192/1/012050]

15. T. A. Alemu, A. K. Tegegne, and A. N. Tarekegn, "Recommender System in Tourism Using Case based Reasoning Approach," International Journal of Information Engineering and Electronic Business, vol. 9, pp. 34-43, 2017. [DOI:10.5815/ijieeb.2017.05.05]

19. J. Borràs, A. Moreno, and A. Valls, "Intelligent tourism recommender systems: A survey," Expert Systems with Applications, vol. 41, no. 16, pp. 7370-7389, 2014. [DOI:10.1016/j.eswa.2014.06.007]

21. Gartner. (2015). Gartner Says Smartphone Sales Surpassed One Billion Units in 2014. Available: https://www.gartner.com/en/newsroom/press-releases/2015-03-03-gartner-says-smartphone-sales-surpassed-one-billion-units-in-2014

22. C. C. Aggarwal, Recommender systems. Springer, 2016. [DOI:10.1007/978-3-319-29659-3]

23. J. Lu, D. Wu, M. Mao, W. Wang, and G. Zhang, "Recommender system application developments: a survey," Decision Support Systems, vol. 74, pp. 12-32, 2015. [DOI:10.1016/j.dss.2015.03.008]

24. F. Ricci, L. Rokach, and B. Shapira, "Recommender systems: introduction and challenges," in Recommender systems handbook: Springer, 2015, pp. 1-34. [DOI:10.1007/978-1-4899-7637-6_1]

25. J. A. Konstan and J. Riedl, "Recommender systems: from algorithms to user experience," User modeling and user-adapted interaction, vol. 22, no. 1, pp. 101-123, 2012. [DOI:10.1007/s11257-011-9112-x]

26. C. Pan and W. Li, "Research paper recommendation with topic analysis," in 2010 International Conference On Computer Design and Applications, 2010, vol. 4, pp. V4-264-V4-268: IEEE.

27. L. Baltrunas, B. Ludwig, and F. Ricci, "Matrix factorization techniques for context aware recommendation," in Proceedings of the fifth ACM conference on Recommender systems, 2011, pp. 301-304. [DOI:10.1145/2043932.2043988]

28. R. Manjula and A. Chilambuchelvan, "Content Based Filtering Techniques in Recommendation System using user preferences," Int. J. Innov. Eng. Technol, vol. 7, no. 4, 2016.

29. D. Gavalas, C. Konstantopoulos, K. Mastakas, and G. Pantziou, "Mobile recommender systems in tourism," Journal of network and computer applications, vol. 39, pp. 319-333, 2014. [DOI:10.1016/j.jnca.2013.04.006]

30. F. O. Isinkaye, Y. Folajimi, and B. A. Ojokoh, "Recommendation systems: Principles, methods and evaluation," Egyptian Informatics Journal, vol. 16, no. 3, pp. 261-273, 2015. [DOI:10.1016/j.eij.2015.06.005]

31. M. J. Pazzani, "A framework for collaborative, content-based and demographic filtering," Artificial intelligence review, vol. 13, no. 5, pp. 393-408, 1999. [DOI:10.1023/A:1006544522159]

32. B. Smyth, "Case-based recommendation," in The adaptive web: Springer, 2007, pp. 342-376. [DOI:10.1007/978-3-540-72079-9_11]

33. L. Ravi and S. Vairavasundaram, "A collaborative location based travel recommendation system through enhanced rating prediction for the group of users," Computational intelligence and neuroscience, vol. 2016, 2016. [DOI:10.1155/2016/1291358]

34. A. Aamodt and E. Plaza, "Case-based reasoning: Foundational issues, methodological variations, and system approaches," AI communications, vol. 7, no. 1, pp. 39-59, 1994. [DOI:10.3233/AIC-1994-7104]

35. J. Kolodner, "Case-Based Reasoning," 1993. [DOI:10.1016/B978-1-55860-237-3.50005-4]

36. D. B. Leake, "Case-based reasoning: experiences, lessons, and future directions," 1996.

37. M. Veloso, H. Muñoz-Avila, and R. Bergmann, "Case-based planning: selected methods and systems," AI Communications, vol. 9, no. 3, pp. 128-137, 1996. [DOI:10.3233/AIC-1996-9305]

38. I. Watson, Applying case-based reasoning: techniques for enterprise systems. Morgan Kaufmann Publishers Inc., 1998.

39. A. Stahl, "Combining case-based and similarity-based product recommendation," in European Conference on Case-Based Reasoning, 2006, pp. 355-369: Springer. [DOI:10.1007/11805816_27]

40. M. Aldayel and M. Ykhlef, "A new sentiment case-based recommender," IEICE TRANSACTIONS on Information and Systems, vol. 100, no. 7, pp. 1484-1493, 2017. [DOI:10.1587/transinf.2016EDP7441]

41. D. Bridge, M. H. Göker, L. McGinty, and B. Smyth, "Case-based recommender systems," The Knowledge Engineering Review, vol. 20, no. 3, pp. 315-320, 2005. [DOI:10.1017/S0269888906000567]

42. G. D. Abowd, A. K. Dey, P. J. Brown, N. Davies, M. Smith, and P. Steggles, "Towards a better understanding of context and context-awareness," in International symposium on handheld and ubiquitous computing, 1999, pp. 304-307: Springer. [DOI:10.1007/3-540-48157-5_29]

43. F. Boström, "AndroMedia: Towards a Context-aware Mobile Music Recommender," 2008.

44. T. Agagu and T. Tran, "Context-Aware Recommendation Methods," International Journal of Intelligent Systems and Applications, vol. 10, no. 9, p. 1, 2018. [DOI:10.5815/ijisa.2018.09.01]

45. B. Schilit, N. Adams, and R. Want, "Context-aware computing applications," in 1994 First Workshop on Mobile Computing Systems and Applications, 1994, pp. 85-90: IEEE. [DOI:10.1109/WMCSA.1994.16]

46. G. Chen and D. Kotz, "A survey of context-aware mobile computing research," 2000.

48. A. Bernardos, J. Casar, J. Portillo, and A. Bermejo, "Servicios y aplicaciones en movilidad para el sector turístico," CITIC, Madrid, 2007.

49. D. Jannach, M. Zanker, A. Felfernig, and G. Friedrich, "Recommender Systems: An Introduction-Cambridge University Press," New York, vol. 352, 2010. [DOI:10.1017/CBO9780511763113]

50. L. Baltrunas and F. Ricci, "Context-based splitting of item ratings in collaborative filtering," in Proceedings of the third ACM conference on Recommender systems, 2009, pp. 245-248. [DOI:10.1145/1639714.1639759]

51. A. Karatzoglou, X. Amatriain, L. Baltrunas, and N. Oliver, "Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering," in Proceedings of the fourth ACM conference on Recommender systems, 2010, pp. 79-86. [DOI:10.1145/1864708.1864727]

52. Y. Shi, M. Larson, and A. Hanjalic, "Mining mood-specific movie similarity with matrix factorization for context-aware recommendation," in Proceedings of the workshop on context-aware movie recommendation, 2010, pp. 34-40. [DOI:10.1145/1869652.1869658]

53. L. Baltrunas, B. Ludwig, S. Peer, and F. Ricci, "Context relevance assessment and exploitation in mobile recommender systems," Personal and Ubiquitous Computing, vol. 16, no. 5, pp. 507-526, 2012. [DOI:10.1007/s00779-011-0417-x]

54. S. Dragićević, "The potential of Web-based GIS," Journal of Geographical Systems, vol. 6, no. 2, pp. 79-81, 2004. [DOI:10.1007/s10109-004-0133-4]

55. S. Quinn, "Web GIS," The geographic information science & technology body of knowledge, 2018. [DOI:10.22224/gistbok/2018.1.11]

56. J. Buder and C. Schwind, "Learning with personalized recommender systems: A psychological view," Computers in Human Behavior, vol. 28, no. 1, pp. 207-216, 2012. [DOI:10.1016/j.chb.2011.09.002]

57. M. Sagheb-Tehrani, "A conceptual model of knowledge elicitation," Proc CONISAR, vol. 2, pp. 1-7, 2009.

58. Y. Sun and L. Lee, "Agent-based personalised tourist route advice system," 2004: ISPRS 2004: 20th International Society for Photogrammetry and Remote Sensing ….

59. K. Shyong, D. Frankowski, and J. Riedl, "Do you trust your recommendations? An exploration of security and privacy issues in recommender systems," in International Conference on Emerging Trends in Information and Communication Security, 2006, pp. 14-29: Springer. [DOI:10.1007/11766155_2]

60. G. Adomavicius and A. Tuzhilin, "Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions," IEEE transactions on knowledge and data engineering, vol. 17, no. 6, pp. 734-749, 2005. [DOI:10.1109/TKDE.2005.99]

61. T. Zhang and V. S. Iyengar, "Recommender systems using linear classifiers," The Journal of Machine Learning Research, vol. 2, pp. 313-334, 2002.

62. "2 Billion Consumers Worldwide to Get Smart(phones) by 2016," Available: https://www.emarketer.com/Article/2-Billion-Consumers-Worldwide-Smartphones-by-2016/1011694

63. J. M. Noguera, M. J. Barranco, R. J. Segura, and L. Martínez, "A mobile 3D-GIS hybrid recommender system for tourism," Information Sciences, vol. 215, pp. 37-52, 2012. [DOI:10.1016/j.ins.2012.05.010]