Example usage for org.apache.mahout.cf.taste.impl.recommender AllSimilarItemsCandidateItemsStrategy AllSimilarItemsCandidateItemsStrategy

Introduction

In this page you can find the example usage for org.apache.mahout.cf.taste.impl.recommender AllSimilarItemsCandidateItemsStrategy AllSimilarItemsCandidateItemsStrategy.

Prototype

public AllSimilarItemsCandidateItemsStrategy(ItemSimilarity similarity) 

Source Link

Usage

From source file:io.spring.springoverflow.Application.java

License:Apache License

@Bean
ItemBasedRecommender recommender(DataSource dataSource) throws Exception {
    DataModel dataModel = new MySQLBooleanPrefJDBCDataModel(dataSource);
    ItemSimilarity similarity = new MySQLJDBCInMemoryItemSimilarity(dataSource);
    AllSimilarItemsCandidateItemsStrategy candidateItemsStrategy = new AllSimilarItemsCandidateItemsStrategy(
            similarity);//from   w  w  w .  j ava  2 s.  c  o m
    return new GenericItemBasedRecommender(dataModel, similarity, candidateItemsStrategy,
            candidateItemsStrategy);
}

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From source file:org.plista.kornakapi.core.config.ItembasedRecommenderConfig.java

License:Apache License

@Override
public KornakapiRecommender buildRecommenderFromConfig(Configuration conf, DataModel persistentData)
        throws IOException {
    String name = this.getName();

    File modelFile = modelFile(conf, name);

    if (!modelFile.exists()) {
        boolean created = modelFile.createNewFile();
        if (!created) {
            throw new IllegalStateException("Cannot create file in model directory" + conf.getModelDirectory());
        }//from w  w w  .  j  ava2  s  .co m
    }

    // set up recommender instance
    ItemSimilarity itemSimilarity = new FileItemSimilarity(modelFile);
    AllSimilarItemsCandidateItemsStrategy allSimilarItemsStrategy = new AllSimilarItemsCandidateItemsStrategy(
            itemSimilarity);
    KornakapiRecommender recommender = new ItemSimilarityBasedRecommender(persistentData, itemSimilarity,
            allSimilarItemsStrategy, allSimilarItemsStrategy);

    return recommender;
}

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