/**
* 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.impl.recommender;
import org.apache.mahout.cf.taste.impl.TasteTestCase;
import org.apache.mahout.cf.taste.recommender.RecommendedItem;
import org.apache.mahout.cf.taste.recommender.Recommender;
import org.junit.Test;
import java.util.List;
public final class ItemAverageRecommenderTest extends TasteTestCase {
@Test
public void testRecommender() throws Exception {
Recommender recommender = new ItemAverageRecommender(getDataModel());
List<RecommendedItem> recommended = recommender.recommend(1, 1);
assertNotNull(recommended);
assertEquals(1, recommended.size());
RecommendedItem firstRecommended = recommended.get(0);
assertEquals(2, firstRecommended.getItemID());
assertEquals(0.53333336f, firstRecommended.getValue(), EPSILON);
recommender.refresh(null);
assertEquals(2, firstRecommended.getItemID());
assertEquals(0.53333336f, firstRecommended.getValue(), EPSILON);
}
}