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Study Papers | Computer Science | Volume 15 Issue 5, May 2026 | Pages: 7 - 11 | India
Comprehensive Study on Analysing the Efficacy of Artificial Intelligence in Simplifying Travel Recommendation Systems
Abstract: This research delves into the extensive analysis of how Artificial Intelligence (AI) can enhance and optimize travel recommendation systems. The rapid growth of the travel industry has created a pressing demand for tailored and streamlined travel recommendations. This research paper offers a comprehensive analysis of the incorporation of artificial intelligence (AI) applications within travel recommendation systems. Our research delves into the impact of these applications on enhancing user experiences and streamlining decision-making processes. Drawing upon a comprehensive range of academic resources, this analysis undertakes a critical assessment of the advantages, limitations, and emerging trends in the intersection of artificial intelligence and travel recommendations. Furthermore, our research explores the intricacies associated with incorporating artificial intelligence (AI) into the realm of travel and presents potential avenues for future academic exploration. The purpose of this research is to compile existing information to provide a valuable resource for researchers, practitioners, and industry stakeholders who wish to advance the field of AI-powered travel recommendations.
Keywords: Artificial Intelligence (AI), Recommendation System, Travel Systems, Chabot's, Decision-making optimization, AI applications
How to Cite?: Katira Madhuriben Kiritbhai, Dr. Rupal Parekh, Dr. Ripal Ranpara, "Comprehensive Study on Analysing the Efficacy of Artificial Intelligence in Simplifying Travel Recommendation Systems", Volume 15 Issue 5, May 2026, International Journal of Science and Research (IJSR), Pages: 7-11, https://www.ijsr.net/getabstract.php?paperid=SR26417092630, DOI: https://dx.dx.doi.org/10.21275/SR26417092630