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

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

870
871
872
873
874
875
876
877
878
879
880
      List<RecommendedItem> items = new LinkedList<RecommendedItem>();
      for (String token : tokens) {
        String[] itemTokens = token.split(":");
        long itemID = Long.parseLong(itemTokens[0]);
        float value = Float.parseFloat(itemTokens[1]);
        items.add(new GenericRecommendedItem(itemID, value));
      }
      recommendations.put(userID, items);
    }
    return recommendations;
  }
View Full Code Here
66
67
68
69
70
71
72
73
74
75
76
    try {
      do {
        String itemID = in.readUTF();
        double value = in.readDouble();
        Item item = new GenericItem<String>(itemID);
        RecommendedItem recommendedItem = new GenericRecommendedItem(item, value);
        recommended.add(recommendedItem);
      } while (true);
    } catch (EOFException eofe) {
      // continue; done
    }
View Full Code Here
67
68
69
70
71
72
73
74
75
    int size = in.readInt();
    recommended = Lists.newArrayListWithCapacity(size);
    for (int i = 0; i < size; i++) {
      long itemID = Varint.readSignedVarLong(in);
      float value = in.readFloat();
      RecommendedItem recommendedItem = new GenericRecommendedItem(itemID, value);
      recommended.add(recommendedItem);
    }
  }
View Full Code Here
917
918
919
920
921
922
923
924
925
926
927
      List<RecommendedItem> items = Lists.newLinkedList();
      for (String token : tokens) {
        String[] itemTokens = token.split(":");
        long itemID = Long.parseLong(itemTokens[0]);
        float value = Float.parseFloat(itemTokens[1]);
        items.add(new GenericRecommendedItem(itemID, value));
      }
      recommendations.put(userID, items);
    }
    return recommendations;
  }
View Full Code Here
62
63
64
65
66
67
68
69
70
71
72
    recommended = new ArrayList<RecommendedItem>();
    try {
      do {
        long itemID = in.readLong();
        float value = in.readFloat();
        RecommendedItem recommendedItem = new GenericRecommendedItem(itemID, value);
        recommended.add(recommendedItem);
      } while (true);
    } catch (EOFException eofe) {
      // continue; done
    }
View Full Code Here
71
72
73
74
75
76
77
78
79
  }

  private static List<RecommendedItem> makeNCandidates(int n) {
    List<RecommendedItem> candidates = Lists.newArrayListWithCapacity(n);
    for (int i = 1; i <= n; i++) {
      candidates.add(new GenericRecommendedItem(i, i));
    }
    return candidates;
  }
View Full Code Here
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
        long userID = Long.parseLong(parts.next());
        long itemID = Long.parseLong(parts.next());
        if (parts.hasNext()) {
          String token = parts.next().trim();
          if (!token.isEmpty()) {
            data.put(userID, new GenericRecommendedItem(itemID, LangUtils.parseFloat(token)));
          }
          // Ignore remove lines
        } else {
          data.put(userID, new GenericRecommendedItem(itemID, 1.0f));
        }
        if (++count % 1000000 == 0) {
          log.info("Finished {} lines", count);
        }
      }
View Full Code Here
602
603
604
605
606
607
608
609
610
611
612
      CharSequence line;
      while ((line = reader.readLine()) != null) {
        Iterator<String> tokens = COMMA.split(line).iterator();
        long itemID = Long.parseLong(tokens.next());
        float value = LangUtils.parseFloat(tokens.next());
        result.add(new GenericRecommendedItem(itemID, value));
      }
    } finally {
      reader.close();
    }
    return result;
View Full Code Here
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
            if (parts.hasNext()) {
              String token = parts.next().trim();
              if (!token.isEmpty()) {
                float value = LangUtils.parseFloat(token);
                if (userIsTag) {
                  itemTags.put(userIDString, new GenericRecommendedItem(itemID, value));
                } else if (itemIsTag) {
                  userTags.put(itemIDString, new GenericRecommendedItem(userID, value));
                } else {
                  if (provider != null) {
                    IDRescorer rescorer = provider.getRecommendRescorer(new long[] {userID}, null);
                    if (rescorer != null) {
                      value = (float) rescorer.rescore(itemID, value);
                    }
                  }
                  data.put(userID, new GenericRecommendedItem(itemID, value));
                }
              }
              // Ignore remove lines
            } else {
              if (userIsTag) {
                itemTags.put(userIDString, new GenericRecommendedItem(itemID, 1.0f));
              } else if (itemIsTag) {
                userTags.put(itemIDString, new GenericRecommendedItem(userID, 1.0f));
              } else {
                float value = 1.0f;               
                if (provider != null) {
                  IDRescorer rescorer = provider.getRecommendRescorer(new long[] {userID}, null);
                  if (rescorer != null) {
                    value = (float) rescorer.rescore(itemID, value);
                  }
                }
                data.put(userID, new GenericRecommendedItem(itemID, value));
              }
            }
          }
        }
        if (++count % 1000000 == 0) {
View Full Code Here
195
196
197
198
199
200
201
202
203
204
205
206
207
      long itemID = indexItemIDMap.get(index);
      if (itemsToRecommendFor == null || itemsToRecommendFor.contains(itemID)) {
        float value = (float) element.get();
        if (!Float.isNaN(value)) {
          if (topItems.size() < recommendationsPerUser) {
            topItems.add(new GenericRecommendedItem(itemID, value));
          } else if (value > topItems.peek().getValue()) {
            topItems.add(new GenericRecommendedItem(itemID, value));
            topItems.poll();
          }
        }
      }
    }
View Full Code Here
TOP

Related Classes of org.apache.mahout.cf.taste.impl.recommender.GenericRecommendedItem

  • mia.recommender.ch06.AggregateAndRecommendReducer
  • net.myrrix.client.ClientRecommender
  • net.myrrix.common.TopNTest
  • net.myrrix.online.eval.AbstractEvaluator
  • net.myrrix.online.eval.ReconstructionEvaluator
  • org.apache.mahout.cf.taste.hadoop.als.RecommenderJob$PredictionMapper
  • org.apache.mahout.cf.taste.hadoop.item.AggregateAndRecommendReducer
  • org.apache.mahout.cf.taste.hadoop.item.RecommenderJobTest
  • org.apache.mahout.cf.taste.hadoop.item.RecommenderMapper
  • org.apache.mahout.cf.taste.hadoop.RecommendedItemsWritable
    • Copyright © 2018 www.massapicom. All rights reserved.
    All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.