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A Semantic and Context-Aware Conversational AI System for Personalized Travel Planning
Authors
1 3 4 5 Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India. 2 Head of Department, Department of Artificial Intelligence and Machine Learning, Sasi Institute of Technology and Engineering Tadepalligudem, Andhra Pradesh, India.
Article Information
- Organised By
- Madanapalle Institute of Technology & Science (MITS)
- Conference Date
- 9 & 10 March 2026
- Pages
- 66-71
- Article Type
- Research Article
References
1. S. Alharbi et al., “A Systematic Review of Chatbots,” IEEE Access, 2024.
2. R. Kumar and S. Patel, “Trip Tailor,” IJES, 2023.
3. L. Zhang et al., “Tourist Barriers to Generative AI,” Tourism Management, 2025.
4. S. Borgia et al., “IoT-Enabled Smart Tourism,” Springer, 2019.
5. J. Wang et al., “Conversational AI for Travel,” Sustainability, 2024.
6. M. Zhang et al., “Conversational Recommender Systems,” ACM CSUR, 2021.
7. A. Hussain et al., “Context-Aware Recommendation,” Sensors, 2023.
8. Y. Chen et al., “Multimodal Conversational Agents,” arXiv, 2025.
9. J. Devlin et al., “BERT,” NAACL-HLT, 2019.
10. J. Gao et al., “Conversational AI,” FnT IR, 2019.
11. Y. Sun and Y. Zhang, “Conversational Recommender System,” SIGIR, 2018.
12. N. Reimers and I. Gurevych, “Sentence-BERT,” EMNLP, 2019.
13. J. Johnson et al., “FAISS,” IEEE BigData, 2017.
14. T. Baltrusˇaitis et al., “Multimodal ML,” IEEE TPAMI, 2019.
15. U. Gretzel et al., “Smart Tourism,” Electronic Markets, 2015.
16. S. Batty et al., “Real-Time Smart Systems,” 2012.
17. T. Brown et al., “Language Models are Few-Shot Learners,” NeurIPS, 2020.
18. K. K. Fitzpatrick et al., “Chatbots in Tourism,” IEEE Access, 2022.
19. A. Ricci et al., “Recommender Systems Handbook,” Springer, 2015.
20. OWASP Foundation, “OWASP Top 10 for Large Language Model Applications,” 2023.
2. R. Kumar and S. Patel, “Trip Tailor,” IJES, 2023.
3. L. Zhang et al., “Tourist Barriers to Generative AI,” Tourism Management, 2025.
4. S. Borgia et al., “IoT-Enabled Smart Tourism,” Springer, 2019.
5. J. Wang et al., “Conversational AI for Travel,” Sustainability, 2024.
6. M. Zhang et al., “Conversational Recommender Systems,” ACM CSUR, 2021.
7. A. Hussain et al., “Context-Aware Recommendation,” Sensors, 2023.
8. Y. Chen et al., “Multimodal Conversational Agents,” arXiv, 2025.
9. J. Devlin et al., “BERT,” NAACL-HLT, 2019.
10. J. Gao et al., “Conversational AI,” FnT IR, 2019.
11. Y. Sun and Y. Zhang, “Conversational Recommender System,” SIGIR, 2018.
12. N. Reimers and I. Gurevych, “Sentence-BERT,” EMNLP, 2019.
13. J. Johnson et al., “FAISS,” IEEE BigData, 2017.
14. T. Baltrusˇaitis et al., “Multimodal ML,” IEEE TPAMI, 2019.
15. U. Gretzel et al., “Smart Tourism,” Electronic Markets, 2015.
16. S. Batty et al., “Real-Time Smart Systems,” 2012.
17. T. Brown et al., “Language Models are Few-Shot Learners,” NeurIPS, 2020.
18. K. K. Fitzpatrick et al., “Chatbots in Tourism,” IEEE Access, 2022.
19. A. Ricci et al., “Recommender Systems Handbook,” Springer, 2015.
20. OWASP Foundation, “OWASP Top 10 for Large Language Model Applications,” 2023.
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