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A user-preference-sensitive collaborative filtering algorithm for recommender system, which is based on items' ratings.

Project description

Python package RatingCF

  • Description: A user-preference-sensitive collaborative filtering algorithm for recommender system, which is based on items' ratings.

  • Optimization Method: batch gradient descent

  • Parameter Initialization Method: normal distribution

  • Ensemble Method: voting

  • Output: a dictionary of recommendations

  • Other Features: flexible choices of the dimension of item's feature, training epochs, etc.

Project details


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