Paper Key : IRJ************734
Author: Moin Tamboli,Shahrukh Shekh,Abdullah Shaikh,Noaman Shaikh,Taha Patil
Date Published: 01 Oct 2024
Abstract
In todays travel landscape, group travelers often face unique challenges in planning trips compared to solo travelers. Although community sites like TripAdvisor offer abundant information, the planning process can be time-consuming. Our study addresses this by proposing a recommendation system that caters specifically to group travel, considering preferences such as destinations, budgets, and individual trip components like flights, hotels, and activities. The system, GRec_Tr, combines Collaborative Filtering (CF) for destination recommendations with a group decision-making process, factoring in individual preferences. This approach enhances travel experiences, boosts traveler satisfaction, and provides comprehensive travel package suggestions.Our project addresses this gap by creating a platform that connects travelers based on shared preferences like destination, activities, budget, and timing. The system employs a hybrid recommendation approach using Collaborative Filtering (CF) and Content-Based Filtering (CBF) to match users based on travel history and preferences. Additionally, content-based filtering refines results by analyzing user profiles.
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