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Scalable machine learning libraries
/**
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.mahout.cf.taste.recommender;
import java.util.List;
import org.apache.mahout.cf.taste.common.Refreshable;
import org.apache.mahout.cf.taste.common.TasteException;
import org.apache.mahout.cf.taste.model.DataModel;
/**
*
* Implementations of this interface can recommend items for a user. Implementations will likely take
* advantage of several classes in other packages here to compute this.
*
*/
public interface Recommender extends Refreshable {
/**
* @param userID
* user for which recommendations are to be computed
* @param howMany
* desired number of recommendations
* @return {@link List} of recommended {@link RecommendedItem}s, ordered from most strongly recommend to
* least
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
List recommend(long userID, int howMany) throws TasteException;
/**
* @param userID
* user for which recommendations are to be computed
* @param howMany
* desired number of recommendations
* @return {@link List} of recommended {@link RecommendedItem}s, ordered from most strongly recommend to
* least
* @param includeKnownItems
* whether to include items already known by the user in recommendations
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
List recommend(long userID, int howMany, boolean includeKnownItems) throws TasteException;
/**
* @param userID
* user for which recommendations are to be computed
* @param howMany
* desired number of recommendations
* @param rescorer
* rescoring function to apply before final list of recommendations is determined
* @return {@link List} of recommended {@link RecommendedItem}s, ordered from most strongly recommend to
* least
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
List recommend(long userID, int howMany, IDRescorer rescorer) throws TasteException;
/**
* @param userID
* user for which recommendations are to be computed
* @param howMany
* desired number of recommendations
* @param rescorer
* rescoring function to apply before final list of recommendations is determined
* @param includeKnownItems
* whether to include items already known by the user in recommendations
* @return {@link List} of recommended {@link RecommendedItem}s, ordered from most strongly recommend to
* least
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
List recommend(long userID, int howMany, IDRescorer rescorer, boolean includeKnownItems)
throws TasteException;
/**
* @param userID
* user ID whose preference is to be estimated
* @param itemID
* item ID to estimate preference for
* @return an estimated preference if the user has not expressed a preference for the item, or else the
* user's actual preference for the item. If a preference cannot be estimated, returns
* {@link Double#NaN}
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
float estimatePreference(long userID, long itemID) throws TasteException;
/**
* @param userID
* user to set preference for
* @param itemID
* item to set preference for
* @param value
* preference value
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
void setPreference(long userID, long itemID, float value) throws TasteException;
/**
* @param userID
* user from which to remove preference
* @param itemID
* item for which to remove preference
* @throws TasteException
* if an error occurs while accessing the {@link DataModel}
*/
void removePreference(long userID, long itemID) throws TasteException;
/**
* @return underlying {@link DataModel} used by this {@link Recommender} implementation
*/
DataModel getDataModel();
}
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