A Comprehensive Machine Learning-Based Hybrid Approach for Personalized Tourism Recommendations in Ireland

Tariq, Mohib (2024) A Comprehensive Machine Learning-Based Hybrid Approach for Personalized Tourism Recommendations in Ireland. Masters thesis, Dublin, National College of Ireland.

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Abstract

Recommendation systems have become very important in providing personalized recommendations to users across many domains, including tourism. The main aim of this research study is to develop and evaluate a recommendation system to promote tourism in Ireland. A hybrid approach is implemented in this study, which is a combination of content-based filtering, collaborative filtering, and cluster-based techniques. The study uses three distinct datasets that contain information about Ireland’s tourist attractions, Ireland’s accommodations, and cultural landmarks in Ireland. Throughout this study, a detailed methodology was used involving data pre-processing, feature engineering, and machine learning modeling techniques. The evaluation of the models was done using evaluation metrics like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R2 Score, which ensured a strong performance comparison. The findings showed that the weighted hybrid approach performed better than the individual content-based and collaborative filtering methods and showed accurate and relevant recommendations. This research adds an important contribution to the field of tourism recommendation systems by offering a unique and innovative approach to improving user experiences.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Menghwar, Teerath Kumar UNSPECIFIED
Uncontrolled Keywords:	Recommendation System; Content-Based Filtering; Collaborative Filtering; Cluster-Based Techniques; Hybrid Approach
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science J Political Science > JN Political institutions (Europe) > Ireland Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Tourism Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	05 Sep 2025 11:32
Last Modified:	05 Sep 2025 11:32
URI:	https://norma.ncirl.ie/id/eprint/8824

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