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Enhancing Irish Tourism: A Detailed Approach Integrating Weather Prediction Models and Recommendation Systems

Hidayat Hussain, Mohamed Mubassir Hussain (2023) Enhancing Irish Tourism: A Detailed Approach Integrating Weather Prediction Models and Recommendation Systems. Masters thesis, Dublin, National College of Ireland.

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Abstract

Tourism Industry is one of the vastly growing sector in Ireland and is one of the biggest contributors to the economy of Ireland. The tourism Industry in Ireland is heavily impacted by changes in the seasons, which also has a major effect on the number of visitors and the overall economic state. With the help of advanced algorithms and the usage of a historical data and a detailed weather analysis to develop a recommendation systems for tourists to give them customised suggestions on the places to visit in different times of the year based on historical data and current trends ensuring a dynamic and responsive system while also developing an weather prediction model with for accurate weather forecasts. In this research, using the content based recommendation systems it successfully provides customised suggestions to tourists based on the historical data and the weather conditions. Along with that the Random Forest regression model used for weather prediction shows great accuracy in predicting the weather. Overall this research gives great results with the random forest regression giving out high accuracy in weather prediction and the content based recommendation provides personalised suggestions to the tourists based on the historical data. These results provide valuable information to the tourists as well as the industry stakeholders to enhance the Irish tourism sector.

Item Type: Thesis (Masters)
Supervisors:
Name
Email
Shahid, Abdul
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Algebra > Algorithms > Computer algorithms
D History General and Old World > DA Great Britain > Ireland
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: 08 May 2025 16:18
Last Modified: 08 May 2025 16:18
URI: https://norma.ncirl.ie/id/eprint/7527

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