MultiPhraseQuery assigns different scores to identical docs when using 0
pos-incr
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Key: LUCENE-3029
URL: https://issues.apache.org/jira/browse/LUCENE-3029
Project: Lucene - Java
Issue Type: Bug
Reporter: Michael McCandless
Assignee: Michael McCandless
Priority: Minor
Fix For: 3.0.4, 3.2, 4.0
If you have two identical docs with tokens a b c all zero pos-incr (ie
they occur on the same position), and you run a MultiPhraseQuery with
[a, b] and [c] (all pos incr 0)... then the two docs will get
different scores despite being identical.
Admittedly it's a strange query... but I think the scorer ought to
count the phrase as having tf=1 for each doc.
The problem is that we are missing a tie-breaker for the PhraseQuery
used by ExactPhraseScorer, and so the PQ ends up flip/flopping such
that every other document gets the same score. Ie, even docIDs all
get one score and odd docIDs all get another score.
Once I added the hard tie-breaker (ord) the scores are the same.
However... there's a separate bug, that can over-count the tf, such
that if I create the MPQ like this:
{noformat}
mpq.add(new Term[] {new Term("field", "a")}, 0);
mpq.add(new Term[] {new Term("field", "b"), new Term("field", "c")}, 0);
{noformat}
I get tf=2 per doc, but if I create it like this:
{noformat}
mpq.add(new Term[] {new Term("field", "b"), new Term("field", "c")}, 0);
mpq.add(new Term[] {new Term("field", "a")}, 0);
{noformat}
I get tf=1 (which I think is correct?).
This happens because MultipleTermPositions freely returns the same
position more than once: it just unions the positions of the two
streams, so when both have their term at pos=0, you'll get pos=0
twice, which is not good and leads to over-counting tf.
Unfortunately, I don't see a performant way to fix that... and I'm not
sure that it really matters that much in practice.
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