Recommender systems based on collaborative filtering

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Table of contents

1 Introduction 
1.1 Project Introduction
1.2 Project Aim
2 Background 
2.1 Collaborative Filtering
2.2 Content Based Approaches
2.3 Hybrid Systems
2.4 Playlist Generation
2.4.1 Probabilistic Graphical Models for Playlist Generation
2.4.2 Gaussian Processes for Playlist Generation
3 Representation Learning 
3.1 Representation Learning
3.2 Principal Component Analysis
4 Representing Playlists 
4.1 Assumptions
4.2 Data
4.3 Exploratory Data Analysis
4.4 Learning Playlist Characteristics
4.4.1 Handling zero variance terms
4.5 Selecting candidate songs for a playlist
4.5.1 Subspace method
4.6 Playlist Comparison
4.7 Approximate Nearest Neighbours
5 Results 
5.1 Precision
5.2 Comparing Model to Baseline
5.3 Confusions
5.4 Qualitative Evaluations
6 Discussion and Future Work 
6.1 Discussion
6.1.1 Complexity Analysis
6.2 Future Work
Bibliography