/*
* Seldon -- open source prediction engine
* =======================================
*
* Copyright 2011-2015 Seldon Technologies Ltd and Rummble Ltd (http://www.seldon.io/)
*
* ********************************************************************************************
*
* Licensed 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 io.seldon.clustering.recommender;
import java.util.List;
import java.util.Set;
import org.springframework.stereotype.Component;
/**
* @author firemanphil
* Date: 10/12/14
* Time: 11:18
*/
@Component
public class ClusterCountsRecommender extends BaseClusterCountsRecommender implements ItemRecommendationAlgorithm {
private static final String name = ClusterCountsRecommender.class.getSimpleName();
@Override
public ItemRecommendationResultSet recommend(String client, Long user, Set<Integer> dimensions, int maxRecsCount, RecommendationContext ctxt, List<Long> recentItemInteractions) {
return this.recommend(name,"CLUSTER_COUNTS",client,ctxt,user,dimensions,maxRecsCount,null);
}
@Override
public String name() {
return name;
}
}