Product recommendation system written in Python and using k-nearest neighbor algorithm (k-NN). Developed and refined local similarity functions and a weighting system using concepts of hierarchical taxonomy, unordered symbols with asymmetric and symmetric relationships, and numerical similarity rules such as "more is perfect". User-friendly GUI designed as well.
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Product recommendation system written in Python and using k-nearest neighbor algorithm (k-NN).
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