A Hybrid Machine Learning Enabled Tourism Recommender System Providing a Context-Aware Experience to Tourists in Ireland

Weather conditions are among the most influential factors when determining what type of tourist attraction to recommend. This paper focuses on a machine learning architecture capable of analysing publicly available tourism data. Based on the collected data, Multi-Layer Perceptron models have been trained that provided promising results during evaluation. It is a multi-phase, extendable approach that can be incorporated into a larger Tourism Recommender System.