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Uses of Recommender in org.apache.mahout.cf.taste.eval |
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Methods in org.apache.mahout.cf.taste.eval that return Recommender | |
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Recommender |
RecommenderBuilder.buildRecommender(DataModel dataModel)
Builds a Recommender implementation to be evaluated, using the given DataModel . |
Uses of Recommender in org.apache.mahout.cf.taste.impl.eval |
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Methods in org.apache.mahout.cf.taste.impl.eval with parameters of type Recommender | |
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static void |
LoadEvaluator.runLoad(Recommender recommender)
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Uses of Recommender in org.apache.mahout.cf.taste.impl.recommender |
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Classes in org.apache.mahout.cf.taste.impl.recommender that implement Recommender | |
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class |
AbstractRecommender
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class |
CachingRecommender
A Recommender which caches the results from another Recommender in memory. |
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. |
class |
TreeClusteringRecommender
A Recommender that clusters users, then determines the
clusters' top recommendations. |
class |
TreeClusteringRecommender2
A Recommender that clusters users, then determines the
clusters' top recommendations. |
Constructors in org.apache.mahout.cf.taste.impl.recommender with parameters of type Recommender | |
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CachingRecommender(Recommender recommender)
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Uses of Recommender in org.apache.mahout.cf.taste.impl.recommender.knn |
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Classes in org.apache.mahout.cf.taste.impl.recommender.knn that implement Recommender | |
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class |
KnnItemBasedRecommender
The weights to compute the final predicted preferences are calculated using linear interpolation, through an Optimizer . |
Uses of Recommender in org.apache.mahout.cf.taste.impl.recommender.slopeone |
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Classes in org.apache.mahout.cf.taste.impl.recommender.slopeone that implement Recommender | |
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class |
SlopeOneRecommender
A basic "slope one" recommender. |
Uses of Recommender in org.apache.mahout.cf.taste.impl.recommender.svd |
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Classes in org.apache.mahout.cf.taste.impl.recommender.svd that implement Recommender | |
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class |
SVDRecommender
A Recommender which uses Single Value Decomposition to find the main features of the data set. |
Uses of Recommender in org.apache.mahout.cf.taste.recommender |
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Subinterfaces of Recommender in org.apache.mahout.cf.taste.recommender | |
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interface |
ClusteringRecommender
Interface implemented by "clustering" recommenders. |
interface |
ItemBasedRecommender
Interface implemented by "item-based" recommenders. |
interface |
UserBasedRecommender
Interface implemented by "user-based" recommenders. |
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