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Mark Harwood commented on LUCENE-329: ------------------------------------- The problem with ignoring IDF completely is that it doesn't help balance partial matches where there is >1 fuzzy element in the query e.g.in a query for John~ Patitucci~ I'm probably more interested in a partial match on the rarer surname than a partial match on the common forename. Obliterating IDF completely as a factor would lose this feature (available in FuzzyLikeThisQuery) > Fuzzy query scoring issues > -------------------------- > > Key: LUCENE-329 > URL: https://issues.apache.org/jira/browse/LUCENE-329 > Project: Lucene - Java > Issue Type: Bug > Components: Search > Affects Versions: 1.2rc5 > Environment: Operating System: All > Platform: All > Reporter: Mark Harwood > Assignee: Lucene Developers > Priority: Minor > Attachments: patch.txt > > > Queries which automatically produce multiple terms (wildcard, range, prefix, > fuzzy etc)currently suffer from two problems: > 1) Scores for matching documents are significantly smaller than term queries > because of the volume of terms introduced (A match on query Foo~ is 0.1 > whereas a match on query Foo is 1). > 2) The rarer forms of expanded terms are favoured over those of more common > forms because of the IDF. When using Fuzzy queries for example, rare mis- > spellings typically appear in results before the more common correct > spellings. > I will attach a patch that corrects the issues identified above by > 1) Overriding Similarity.coord to counteract the downplaying of scores > introduced by expanding terms. > 2) Taking the IDF factor of the most common form of expanded terms as the > basis of scoring all other expanded terms. -- This message is automatically generated by JIRA. - You can reply to this email to add a comment to the issue online. --------------------------------------------------------------------- To unsubscribe, e-mail: java-dev-unsubscr...@lucene.apache.org For additional commands, e-mail: java-dev-h...@lucene.apache.org