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

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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.

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This version

0.1.2

Jan 19, 2019

0.1.1

Jan 19, 2019

0.1.0

Jan 19, 2019

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Uploaded Jan 19, 2019 Source

Uploaded Jan 19, 2019 Python 3

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