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Travel IQ: An AI-Powered Smart Travel Recommendation and Budget Planning System
Authors
1 Assistant Professor, Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology / Visvesvaraya Technological University, India. 2 3 4 5 Department of Information Science and Engineering, Bapuji Institute of Engineering and Technology / Visvesvaraya Technological University, India.
Article Information
- Published In
- Volume 6, Issue 5 (2026)
- Published Online
- September-October 2026
- Pages
- 218-225
- Article Type
- Review Article
- Check for updates
-
References
1. F. Ricci, L. Rokach, and B. Shapira, Eds., Recommender Systems Handbook, 3rd ed. New York, NY, USA: Springer, 2022, doi: 10.1007/978-1-0716-2197-4.
2. 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.
3. 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.
4. J. Xie, K. Zhang, J. Chen, T. Zhu, R. Lou, Y. Tian, et al., “TravelPlanner: A benchmark for real-world planning with language agents,” in Proc. 41st Int. Conf. Machine Learning (ICML), PMLR 235, 2024, pp. 54590–54613.
5. Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, et al., “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, Art. 248, 2023.
6. G. Adomavicius and A. Tuzhilin, “Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions,” IEEE Trans. Knowledge and Data Engineering, vol. 17, no. 6, pp. 734–749, 2005.
7. Moreno, A. Valls, D. Isern, L. Marin, and J. Borràs, “SigTur/E-Destination: Ontology-based personalized recommendation of tourism and leisure activities,” Engineering Applications of Artificial Intelligence, vol. 26, no. 1,
pp. 633–651, 2013, doi: 10.1016/j.engappai.2012.02.014.
8. D. Gavalas, C. Konstantopoulos, K. Mastakas, and G. Pantziou, “A survey on algorithmic approaches for solving tourist trip design problems,” Journal of Heuristics, vol. 20, no. 3, pp. 291–328, 2014, doi: 10.1007/s10732-014-9242-5.
9. J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, “Recommender systems survey,” Knowledge-Based Systems, vol. 46, pp. 109–132, 2013.
10. F. O. Isinkaye, Y. O. Folajimi, and B. A. Ojokoh, “Recommendation systems: Principles, methods and evaluation,” Egyptian Informatics Journal, vol. 16, no. 3, pp. 261–273, 2015.
11. T. B. Brown, B. Mann, N. Ryder, M. Subbiah, et al., “Language models are few-shot learners,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 1877–1901.
12. P. Lewis, E. Perez, A. Piktus, F. Petroni, et al., “Retrieval-augmented generation for knowledge-intensive NLP tasks,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 9459–9474.
13. T. Verhoeff, “Settling multiple debts efficiently: An invitation to computing science,” Informatics in Education, vol. 3, no. 1, pp. 105–126, 2004.
14. R. T. Fielding, “Architectural styles and the design of network-based software architectures,” Ph.D. dissertation, Dept. Information and Computer Science, Univ. California, Irvine, CA, USA, 2000.
15. .S. Few, Information Dashboard Design: The Effective Visual Communication of Data. Sebastopol, CA, USA: O’Reilly Media, 2006.
2. 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.
3. 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.
4. J. Xie, K. Zhang, J. Chen, T. Zhu, R. Lou, Y. Tian, et al., “TravelPlanner: A benchmark for real-world planning with language agents,” in Proc. 41st Int. Conf. Machine Learning (ICML), PMLR 235, 2024, pp. 54590–54613.
5. Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, et al., “Survey of hallucination in natural language generation,” ACM Computing Surveys, vol. 55, no. 12, Art. 248, 2023.
6. G. Adomavicius and A. Tuzhilin, “Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions,” IEEE Trans. Knowledge and Data Engineering, vol. 17, no. 6, pp. 734–749, 2005.
7. Moreno, A. Valls, D. Isern, L. Marin, and J. Borràs, “SigTur/E-Destination: Ontology-based personalized recommendation of tourism and leisure activities,” Engineering Applications of Artificial Intelligence, vol. 26, no. 1,
pp. 633–651, 2013, doi: 10.1016/j.engappai.2012.02.014.
8. D. Gavalas, C. Konstantopoulos, K. Mastakas, and G. Pantziou, “A survey on algorithmic approaches for solving tourist trip design problems,” Journal of Heuristics, vol. 20, no. 3, pp. 291–328, 2014, doi: 10.1007/s10732-014-9242-5.
9. J. Bobadilla, F. Ortega, A. Hernando, and A. Gutiérrez, “Recommender systems survey,” Knowledge-Based Systems, vol. 46, pp. 109–132, 2013.
10. F. O. Isinkaye, Y. O. Folajimi, and B. A. Ojokoh, “Recommendation systems: Principles, methods and evaluation,” Egyptian Informatics Journal, vol. 16, no. 3, pp. 261–273, 2015.
11. T. B. Brown, B. Mann, N. Ryder, M. Subbiah, et al., “Language models are few-shot learners,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 1877–1901.
12. P. Lewis, E. Perez, A. Piktus, F. Petroni, et al., “Retrieval-augmented generation for knowledge-intensive NLP tasks,” in Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020, pp. 9459–9474.
13. T. Verhoeff, “Settling multiple debts efficiently: An invitation to computing science,” Informatics in Education, vol. 3, no. 1, pp. 105–126, 2004.
14. R. T. Fielding, “Architectural styles and the design of network-based software architectures,” Ph.D. dissertation, Dept. Information and Computer Science, Univ. California, Irvine, CA, USA, 2000.
15. .S. Few, Information Dashboard Design: The Effective Visual Communication of Data. Sebastopol, CA, USA: O’Reilly Media, 2006.
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