Examples of MRFDocumentRanker

Examples of ivory.smrf.retrieval.MRFDocumentRanker

108
109
110
111
112
113
114
115
116
117
118
119
        String concept = vocab[conceptID].getKey();

        String[] concepts = concept.split(" ");
        MarkovRandomField conceptMRF = curBuilder.buildMRF(concepts);

        MRFDocumentRanker ranker = new MRFDocumentRanker(conceptMRF, docSet, docSet.length);
        Accumulator[] conceptResults = ranker.rank();
        Arrays.sort(conceptResults, new Accumulator.DocnoComparator());

        float score = 0.0f;
        for (int i = 0; i < conceptResults.length; i++) {
          if (fbResults[i].docno != conceptResults[i].docno) {
View Full Code Here

Examples of ivory.smrf.retrieval.MRFDocumentRanker

207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
            cascadeCost = ranker.getCascadeCost();
          }

          else{ 
            // Retrieve documents using this MRF.
            MRFDocumentRanker ranker = new MRFDocumentRanker(mrf, mNumHits);

            if (mExpander != null) {
              results = ranker.rank();
            }

            // Perform pseudo-relevance feedback, if requested.
            if (mExpander != null) {
              // Get expanded MRF.
              MarkovRandomField expandedMRF = mExpander.getExpandedMRF(mrf, results);

              // Re-rank documents according to expanded MRF.
              ranker = new MRFDocumentRanker(expandedMRF, mNumHits);
            }
 
            // Rank the documents.
            results = ranker.rank();

            //cascadeCost = ranker.getCost();
            cascadeCost = -1; //todo: later
       
          }
View Full Code Here

Examples of ivory.smrf.retrieval.MRFDocumentRanker

108
109
110
111
112
113
114
115
116
117
118
119
        String concept = vocab[conceptID].getKey();

        String[] concepts = concept.split(" ");
        MarkovRandomField conceptMRF = curBuilder.buildMRF(concepts);

        MRFDocumentRanker ranker = new MRFDocumentRanker(conceptMRF, docSet, docSet.length);
        Accumulator[] conceptResults = ranker.rank();
        Arrays.sort(conceptResults, new Accumulator.DocnoComparator());

        float score = 0.0f;
        for (int i = 0; i < conceptResults.length; i++) {
          if (fbResults[i].docno != conceptResults[i].docno) {
View Full Code Here

Examples of ivory.smrf.retrieval.MRFDocumentRanker

207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
            cascadeCost = ranker.getCascadeCost();
          }

          else{ 
            // Retrieve documents using this MRF.
            MRFDocumentRanker ranker = new MRFDocumentRanker(mrf, mNumHits);

            if (mExpander != null) {
              results = ranker.rank();
            }

            // Perform pseudo-relevance feedback, if requested.
            if (mExpander != null) {
              // Get expanded MRF.
              MarkovRandomField expandedMRF = mExpander.getExpandedMRF(mrf, results);

              // Re-rank documents according to expanded MRF.
              ranker = new MRFDocumentRanker(expandedMRF, mNumHits);
            }
 
            // Rank the documents.
            results = ranker.rank();

            //cascadeCost = ranker.getCost();
            cascadeCost = -1; //todo: later
       
          }
View Full Code Here
TOP
Copyright © 2018 www.massapi.com. 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.