Basic and Utility Algorithms¶
lenskit.algorithms.basic module contains baseline and utility algorithms
for nonpersonalized recommendation and testing.
Personalized Mean Rating Prediction¶
Fallback rating predictor is a simple hybrid that takes a list of composite algorithms,
and uses the first one to return a result to predict the rating for each item.
A common case is to fill in with
Bias when a primary predictor cannot score an item.
Memorized recommender is primarily useful for test cases. It memorizes a set of
rating predictions and returns them.