Travel Recommendation System

Authors: Parthavi Chavan, Maitreya Gangurde, Abhijeet Bhaskar, Suraj Golvad

Country: India

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Abstract: The rapid growth of the travel industry has led to an increasing demand for efficient and personalized travel recommendations. Travelers are seeking curated experiences that cater to their preferences, making it imperative to develop advanced systems that provide tailored suggestions. In recent years, the travel industry has witnessed exponential expansion due to factors such as globalization, improved connectivity, and changing consumer preferences. This growth presents both opportunities and challenges, as travelers are now presented with a multitude of choices, often leading to decision fatigue. The proposed system aims to address this need by creating a Travel Recommendation System that leverages the power of data-driven insights and incorporates map navigation for destination suggestions and seamless travel experiences. The recommendation system takes into account user preferences, historical data, and real-time information to offer personalized travel suggestions.

Keywords: Curated Experiences, Personalized Travel, Data-driven Insights, Map Navigation, Seamless Travel, Destination Suggestions

Paper Id: 230428

Published On: 2024-01-04

Published In: Volume 12, Issue 1, January-February 2024

Cite This: Travel Recommendation System - Parthavi Chavan, Maitreya Gangurde, Abhijeet Bhaskar, Suraj Golvad - IJIRMPS Volume 12, Issue 1, January-February 2024.

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