/** * 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.codelibs.elasticsearch.taste.recommender; import org.codelibs.elasticsearch.taste.common.FastIDSet; import org.codelibs.elasticsearch.taste.model.DataModel; import org.codelibs.elasticsearch.taste.model.PreferenceArray; public final class PreferredItemsNeighborhoodCandidateItemsStrategy extends AbstractCandidateItemsStrategy { /** * returns all items that have not been rated by the user and that were preferred by another user * that has preferred at least one item that the current user has preferred too */ @Override protected FastIDSet doGetCandidateItems(final long[] preferredItemIDs, final DataModel dataModel) { final FastIDSet possibleItemsIDs = new FastIDSet(); for (final long itemID : preferredItemIDs) { final PreferenceArray itemPreferences = dataModel .getPreferencesForItem(itemID); final int numUsersPreferringItem = itemPreferences.length(); for (int index = 0; index < numUsersPreferringItem; index++) { possibleItemsIDs.addAll(dataModel .getItemIDsFromUser(itemPreferences.getUserID(index))); } } possibleItemsIDs.removeAll(preferredItemIDs); return possibleItemsIDs; } }