Examples of CachingRecommender

org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

A {@link Recommender} which caches the results from another {@link Recommender} in memory. Results are heldby {@link SoftReference}s so that the JVM may reclaim memory from the recommendationCache in low-memory situations.

Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

  }


  public void testItemLoad() throws Exception {
    DataModel model = createModel();
    ItemSimilarity itemSimilarity = new PearsonCorrelationSimilarity(model);
    Recommender recommender = new CachingRecommender(new GenericItemBasedRecommender(model, itemSimilarity));
    doTestLoad(recommender, 240);
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

  public void testUserLoad() throws Exception {
    DataModel model = createModel();
    UserSimilarity userSimilarity = new PearsonCorrelationSimilarity(model);
    UserNeighborhood neighborhood = new NearestNUserNeighborhood(10, userSimilarity, model);
    Recommender recommender =
            new CachingRecommender(new GenericUserBasedRecommender(model, neighborhood, userSimilarity));
    doTestLoad(recommender, 40);
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

public final class JesterRecommender implements Recommender {
  
  private final Recommender recommender;
  
  public JesterRecommender(DataModel dataModel) throws TasteException {
    recommender = new CachingRecommender(new SlopeOneRecommender(dataModel));
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

   *
   * @param dataModel data model
   * @throws TasteException if an error occurs while initializing this
   */
  public GroupLensRecommender(DataModel dataModel) throws TasteException {
    recommender = new CachingRecommender(new SlopeOneRecommender(dataModel));
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

   *
   * @param dataModel data model
   * @throws TasteException if an error occurs while initializing this {@link GroupLensRecommender}
   */
  public GroupLensRecommender(DataModel dataModel) throws TasteException {
    recommender = new CachingRecommender(new SlopeOneRecommender(dataModel));
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

  private final Recommender recommender;


  public BookCrossingRecommender(DataModel bcModel) throws TasteException {
    UserSimilarity similarity = new PearsonCorrelationSimilarity(bcModel);
    UserNeighborhood neighborhood = new NearestNUserNeighborhood(10, 0.0, similarity, bcModel, 0.1);
    recommender = new CachingRecommender(new GenericUserBasedRecommender(bcModel, neighborhood, similarity));
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

public final class JesterRecommender implements Recommender {


  private final Recommender recommender;


  public JesterRecommender(DataModel dataModel) throws TasteException {
    recommender = new CachingRecommender(new SlopeOneRecommender(dataModel));
  }

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Examples of org.apache.mahout.cf.taste.impl.recommender.CachingRecommender

            100, similarity, model);


    Recommender recommender =  new GenericUserBasedRecommender(
        model, neighborhood, similarity);


    Recommender cachingRecommender = new CachingRecommender(recommender);


    for(int userId: userIds) {
      System.out.println("UserID " + userId);
      List<RecommendedItem> recommendations =
          cachingRecommender.recommend(userId, 2);
      for(RecommendedItem item: recommendations) {
        System.out.println("  item " + item.getItemID() + " score " + item.getValue());
      }
    }
  }

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