Institute of Art Design + Technology Dún Laoghaire
Ireland’s campus for the Creative Industries
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Andrew Bell 

BSc [Hons] Creative Computing

I am a final year Creative Computing student. Throughout my 4 years in iadt, I have developed knowledge and skills in a wide range of technologies, problem solving and team work.

Testing a few sample artists shows fantastic results based purely on an eye test
K nearest neighbors is a supervised machine learning algorithm often used in classification problems. It works on the simple assumption that “The apple does not fall far from the tree” meaning similar things are always in close proximity. The algorithm works by classifying the data points based on how the neighbors are classified.
Fuzzy String Matching, also known as Approximate String Matching, is the process of finding strings that approximately match a pattern. There is a Python Package named FuzzyWuzzy to implement this.
Project Description

A recommender system is a system that uses historical data to predict user preferences by using machine learning. This paper outlines the design and development of one of these systems with the intention of providing a method of learning about machine learning, algorithms and recommender system methods. MusicRec uses historical listening data from Last.fm users to provide recommendations for artists. This is achieved using item-based collaborative filtering which calculates the similarity of items based on how users have rated those items. This project is multi-disiplinary, incorporating data science with conventional programming and design. The recommender uses Python, SciKit-Learn, NumPy and Pandas.


Project Objectives

The aim of conducting this research and developing this project is to gain a deeper understanding of how recommender systems implement machine learning to perform their function.


Thesis Title

The main goal of this project was to develop a recommender system. The intended purpose of the application was to provide users with music recommendations. the main goals in terms of the learning outcome were achieved, I now have a much deeper understanding and grasp on machine learning, artificial intelligence and recommender systems.

Creative Computing
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