Package org.apache.mahout.common

Examples of org.apache.mahout.common.LongPair

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    this.similarityCache = new Cache<LongPair, Double>(new SimilarityRetriever(similarity), maxCacheSize);
  }

  @Override
  public double userSimilarity(long userID1, long userID2) throws TasteException {
    LongPair key = userID1 < userID2 ? new LongPair(userID1, userID2) : new LongPair(userID2, userID1);
    return similarityCache.get(key);
  }
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        return Double.NaN;
      }
      if (rescorer == null) {
        return similarity.userSimilarity(toUserID, userID);
      } else {
        LongPair pair = new LongPair(toUserID, userID);
        if (rescorer.isFiltered(pair)) {
          return Double.NaN;
        }
        double originalEstimate = similarity.userSimilarity(toUserID, userID);
        return rescorer.rescore(pair, originalEstimate);
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        recommendedItems;
  }

  @Override
  public float estimatePreference(long userID, long itemID) throws TasteException {
    return estimatedPrefCache.get(new LongPair(userID, itemID));
  }
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    this.similarityCache = new Cache<LongPair, Double>(new SimilarityRetriever(similarity), maxCacheSize);
  }

  @Override
  public double itemSimilarity(long itemID1, long itemID2) throws TasteException {
    LongPair key = itemID1 < itemID2 ? new LongPair(itemID1, itemID2) : new LongPair(itemID2, itemID1);
    return similarityCache.get(key);
  }
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    RescorerProvider multi =
        new MultiRescorerProvider(new SimpleModRescorerProvider(2), new SimpleModRescorerProvider(3));
    Rescorer<LongPair> provider = multi.getMostSimilarItemsRescorer((MyrrixRecommender) null);
    assertNotNull(provider);
    assertTrue(provider instanceof MultiLongPairRescorer);
    assertTrue(provider.isFiltered(new LongPair(2,3)));
    assertTrue(provider.isFiltered(new LongPair(2,6))); 
    assertFalse(provider.isFiltered(new LongPair(6,12)));
  }
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    double total = 0.0;

    int length = itemFeatures.length;
    for (int i = 0; i < length; i++) {
      long toItemID = toItemIDs[i];
      LongPair cachedPair = null;
      if (rescorer1 != null) {
        cachedPair = new LongPair(itemID, toItemID);
        if (rescorer1.isFiltered(cachedPair)) {
          return null;
        }
      }
      double similarity = SimpleVectorMath.dot(candidateFeatures, itemFeatures[i]) /
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      this.rescorer = rescorer;
    }
   
    @Override
    public double estimate(Long itemID) throws TasteException {
      LongPair pair = new LongPair(toItemID, itemID);
      if (rescorer != null && rescorer.isFiltered(pair)) {
        return Double.NaN;
      }
      double originalEstimate = similarity.itemSimilarity(toItemID, itemID);
      return rescorer == null ? originalEstimate : rescorer.rescore(pair, originalEstimate);
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    public double estimate(Long itemID) throws TasteException {
      RunningAverage average = new FullRunningAverage();
      double[] similarities = similarity.itemSimilarities(itemID, toItemIDs);
      for (int i = 0; i < toItemIDs.length; i++) {
        long toItemID = toItemIDs[i];
        LongPair pair = new LongPair(toItemID, itemID);
        if (rescorer != null && rescorer.isFiltered(pair)) {
          continue;
        }
        double estimate = similarities[i];
        if (rescorer != null) {
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      this.rescorer = rescorer;
    }
   
    @Override
    public double estimate(Long itemID) throws TasteException {
      LongPair pair = new LongPair(toItemID, itemID);
      if (rescorer != null && rescorer.isFiltered(pair)) {
        return Double.NaN;
      }
      double originalEstimate = similarity.itemSimilarity(toItemID, itemID);
      return rescorer == null ? originalEstimate : rescorer.rescore(pair, originalEstimate);
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    public double estimate(Long itemID) throws TasteException {
      RunningAverage average = new FullRunningAverage();
      double[] similarities = similarity.itemSimilarities(itemID, toItemIDs);
      for (int i = 0; i < toItemIDs.length; i++) {
        long toItemID = toItemIDs[i];
        LongPair pair = new LongPair(toItemID, itemID);
        if (rescorer != null && rescorer.isFiltered(pair)) {
          continue;
        }
        double estimate = similarities[i];
        if (rescorer != null) {
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Related Classes of org.apache.mahout.common.LongPair

  • net.myrrix.online.MostSimilarItemIterator
  • net.myrrix.online.MultiRescorerProviderTest
  • org.apache.mahout.cf.taste.impl.recommender.CachingRecommender
  • org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender$MostSimilarEstimator
  • org.apache.mahout.cf.taste.impl.recommender.GenericItemBasedRecommender$MultiMostSimilarEstimator
  • org.apache.mahout.cf.taste.impl.recommender.GenericUserBasedRecommender$MostSimilarEstimator
  • org.apache.mahout.cf.taste.impl.similarity.CachingItemSimilarity
  • org.apache.mahout.cf.taste.impl.similarity.CachingUserSimilarity
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