The aim of this repository is to compare different recommendation algorithms on the Book Recommendation Dataset. The analysis is performed with the Python library LensKit in a Jupyter notebook. The following algorithms are compared:
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Alternating Least Squares
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Funk Singular Value Decomposition
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k Nearest Neighbour Collaborative Filtering
(c) Mia Müßig