Changeset 12775
- Timestamp:
- 2006-09-19T12:55:21+12:00 (18 years ago)
- Location:
- trunk
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/gsdl/src/java/org/nzdl/gsdl/LuceneWrap/GS2LuceneQuery.java
r12773 r12775 215 215 Integer count = (Integer) term_counts.get(term); 216 216 String field = (String) term_fields.get(term); 217 System.out.println(" <Term value=\"" + term + "\" field=\"" + field + "\" freq=\"" + count.intValue() + "\" />"); 217 218 // Ignore any terms with zero frequency, because they don't exist in the matching 219 // documents. It seems that this should never happen, but it's a consequence of 220 // how the terms are identified. The terms are found by rewriting the query (above). 221 // At this point, the query hasn't been run, so each query term is expanded without 222 // knowing whether the expanded term will actually appear in one of the resulting 223 // documents. For example, "otago" may be expanded to "otaio" and "otaqo", but if 224 // the search is for "otago AND auckland", no matching documents may include "otaio". 225 // Hopefully that made some sense... 226 if (count.intValue() > 0) { 227 System.out.println(" <Term value=\"" + term + "\" field=\"" + field + "\" freq=\"" + count.intValue() + "\" />"); 228 } 218 229 count = null; 219 230 term = null; 220 231 } 232 221 233 // Cleanup 222 234 terms_iter = null; -
trunk/indexers/lucene-gs/src/org/greenstone/LuceneWrapper/GS2LuceneQuery.java
r12773 r12775 215 215 Integer count = (Integer) term_counts.get(term); 216 216 String field = (String) term_fields.get(term); 217 System.out.println(" <Term value=\"" + term + "\" field=\"" + field + "\" freq=\"" + count.intValue() + "\" />"); 217 218 // Ignore any terms with zero frequency, because they don't exist in the matching 219 // documents. It seems that this should never happen, but it's a consequence of 220 // how the terms are identified. The terms are found by rewriting the query (above). 221 // At this point, the query hasn't been run, so each query term is expanded without 222 // knowing whether the expanded term will actually appear in one of the resulting 223 // documents. For example, "otago" may be expanded to "otaio" and "otaqo", but if 224 // the search is for "otago AND auckland", no matching documents may include "otaio". 225 // Hopefully that made some sense... 226 if (count.intValue() > 0) { 227 System.out.println(" <Term value=\"" + term + "\" field=\"" + field + "\" freq=\"" + count.intValue() + "\" />"); 228 } 218 229 count = null; 219 230 term = null; 220 231 } 232 221 233 // Cleanup 222 234 terms_iter = null;
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