## Uses of Class
org.apache.mahout.cf.taste.impl.recommender.AbstractRecommender

Packages that use AbstractRecommender
org.apache.mahout.cf.taste.impl.recommender
org.apache.mahout.cf.taste.impl.recommender.svd

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender
`class` `GenericBooleanPrefItemBasedRecommender` A variant on `GenericItemBasedRecommender` which is appropriate for use when no notion of preference value exists in the data.
`class` `GenericBooleanPrefUserBasedRecommender` A variant on `GenericUserBasedRecommender` which is appropriate for use when no notion of preference value exists in the data.
`class` `GenericItemBasedRecommender` A simple `Recommender` which uses a given `DataModel` and `ItemSimilarity` to produce recommendations.
`class` `GenericUserBasedRecommender` A simple `Recommender` which uses a given `DataModel` and `UserNeighborhood` to produce recommendations.
`class` `ItemAverageRecommender` A simple recommender that always estimates preference for an item to be the average of all known preference values for that item.
`class` `ItemUserAverageRecommender` Like `ItemAverageRecommender`, except that estimated preferences are adjusted for the users' average preference value.
`class` `RandomRecommender` Produces random recommendations and preference estimates.

Uses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.svd

Subclasses of AbstractRecommender in org.apache.mahout.cf.taste.impl.recommender.svd
`class` `SVDRecommender` A `Recommender` that uses matrix factorization (a projection of users and items onto a feature space)

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