Package net.librec.recommender.baseline

Class Summary

Class	Description
ConstantGuessRecommender	Baseline: predict by a constant rating
GlobalAverageRecommender	Baseline: predict by average rating of all users
ItemAverageRecommender	Baseline: predict by the average of target item's ratings
ItemClusterRecommender	It is a graphical model that clusters items into K groups for recommendation, as opposite to the UserCluster recommender.
MostPopularRecommender	Baseline: items are weighted by the number of ratings they received.
RandomGuessRecommender	Baseline: predict by a random value in (minRate, maxRate)
UserAverageRecommender	Baseline: predict by the average of target user's ratings
UserClusterRecommender	It is a graphical model that clusters users into K groups for recommendation, see reference: Barbieri et al., Probabilistic Approaches to Recommendations (Section 2.2), Synthesis Lectures on Data Mining and Knowledge Discovery, 2014.