Grokbase Groups Lucene dev July 2010
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Jingkei Ly updated LUCENE-2557:

Attachment: idf-scoring-test-case.patch

I've attached a test case which demonstrates some of the scoring issues (the patch applies to the existing TestFuzzyQuery class). With the default FuzzyQuery, the fuzzy terms "joness" and "smiith" get promoted to the top of the search results because they have higher IDFs than the exact matches.

If you modify the test so that the FuzzyQuerys use TopTermsBoostOnlyBooleanQueryRewrite, i.e. uncomment these lines in the test case:
smithQuery.setRewriteMethod(new MultiTermQuery.TopTermsBoostOnlyBooleanQueryRewrite());
jonesQuery.setRewriteMethod(new MultiTermQuery.TopTermsBoostOnlyBooleanQueryRewrite());

The fuzzy terms are correctly relegated to the bottom of the search results but, because IDF is ignored, "jones" appears more highly scored than "smith" even though "smith" is the rarer term.

Ideally the solution should solve both these issues.
FuzzyQuery - fuzzy terms and misspellings are ranked higher than exact matches

Key: LUCENE-2557
Project: Lucene - Java
Issue Type: Bug
Components: Query/Scoring
Affects Versions: 3.0.2
Reporter: Jingkei Ly
Attachments: idf-scoring-test-case.patch

The FuzzyQuery often causes misspellings to be ranked higher than the exact match, which seems to be an undesirable property generally.
For example, in an index of surnames, if I search using a FuzzyQuery for "smith", the misspellings such as "smiith", or "smiht" would appear near the top of the search results ahead of documents that match "smith".
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postedJul 23, '10 at 4:23p
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