Package org.apache.mahout.cf.taste.impl.recommender.slopeone

Examples of org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage

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import org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage;

class LimitedMemoryDiffStorage {

  Recommender buildRecommender(DataModel model) throws TasteException {
    DiffStorage diffStorage = new MemoryDiffStorage(
        model, Weighting.WEIGHTED, 10000000L);
    return new SlopeOneRecommender(
        model, Weighting.WEIGHTED, Weighting.WEIGHTED, diffStorage);
  }
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import org.apache.mahout.cf.taste.recommender.slopeone.DiffStorage;

class SlopeOneNoWeighting {

  Recommender buildRecommender(DataModel model) throws TasteException {
    DiffStorage diffStorage = new MemoryDiffStorage(
        model, Weighting.UNWEIGHTED, Long.MAX_VALUE);
    return new SlopeOneRecommender(
      model,
      Weighting.UNWEIGHTED,
      Weighting.UNWEIGHTED,
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Related Classes of org.apache.mahout.cf.taste.impl.recommender.slopeone.MemoryDiffStorage

  • mia.recommender.ch04.SlopeOneNoWeighting
  • mia.recommender.ch05.LimitedMemoryDiffStorage
  • org.apache.mahout.cf.taste.impl.common.CompactRunningAverage
  • org.apache.mahout.cf.taste.impl.common.CompactRunningAverageAndStdDev
  • org.apache.mahout.cf.taste.impl.common.FastIDSet
  • org.apache.mahout.cf.taste.impl.common.FullRunningAverage
  • org.apache.mahout.cf.taste.impl.common.FullRunningAverageAndStdDev
  • org.apache.mahout.cf.taste.impl.common.InvertedRunningAverage
  • org.apache.mahout.cf.taste.impl.common.InvertedRunningAverageAndStdDev
  • org.apache.mahout.cf.taste.impl.common.LongPrimitiveIterator
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