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This project forked from tehruhn/recommender_system_algorithm_comparision

This assignment attempts to compare various techniques used in implementing Recommender Systems on the basis of their errors using Root Mean Square Error, Precision on top K and Spearman Rank Correlation. The techniques implemented are User User and Item Item CF, UU and II CF with baseline filtering, SVD, 90% SVD, CUR, and 90% CUR.