Authors : S. Rama; Akhilesh P. S.; Bhuvanesi Barua; Saksham Botke

Volume/Issue : Volume 9 - 2024, Issue 12 - December

Google Scholar : https://tinyurl.com/bdhcjjmy

Scribd : https://tinyurl.com/2n8dtatt

DOI : https://doi.org/10.5281/zenodo.14603630

Abstract : Travel planning in traditional times often relied on human agents, whose recommendations are confined by the agents' knowledge and personal biases. Furthermore, current recommendation systems also find it hard to address budget constraints and special needs of users in traveling. TripSage leverages the concept of Points of Interest (POI) and cosine similarity, thereby providing hotel and day-wise itineraries based on many factors, such as priority concerns of the user, budget, length of the trip, priorities of considering all POIs, as well as the character of the traveling group: solo travellers, families, or just friends. The results depict that the algorithm used by TripSage significantly improves the precision and relevance of travel recommendations, thus creating a much more comprehensive and personalized framework for individual traveller profiles. This study thus represents how AI-based travel recommendation systems are set to fundamentally alter the experience of travel planning in favour of more customized itineraries based on users' preferences and needs.

Keywords : POI, Cosine Similarity, Personalized Travel, Itinerary Generation, AI-Driven Travel Recommendation System.

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