TravelBuddy: An Intelligent Multi-Dimensional Matching Framework for Collaborative Travel Planning and Social Network Formation
Year: 2026
Type: article
Abstract: The increased popularity of solo travels has sparked a need for innovative solutions to ensure a secure and social experience while traveling. Conventional platforms do not offer ways for finding compatible travel companions. In this research, TravelBuddy, an end-to-end MERN-based web application is proposed which uses a multi-dimensional compatibility matching algorithm.This platform utilizes the cosine similarity approach for calculating compatibility based on user interests and budget. Travel styles have been considered using Jaccard similarity approach. It uses a RESTful interface along with JSON Web Tokens for ensuring secure communication between the client and the server. The application also supports trip planning, messaging capabilities, and monitoring by admin.An experimental analysis shows that the solution is computationally efficient with average response times being less than 250 ms. The solution proves the viability of multi-dimensional travel companion matching. Further work will include development of adaptive learning-based matching approach and enhancing real-time communications
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7217279533