I don't think the original authors have followed up on this patch at
all since first posting.
On Nov 27, 2008, at 6:44 AM, Ian Holsman (JIRA) wrote:
[ https://issues.apache.org/jira/browse/LUCENE-965?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12651332
#action_12651332 ]
Ian Holsman commented on LUCENE-965:
------------------------------------
It's a bit late over here, but when I try to apply the patch it
doesn't seem to have the AXSimilarity class in it.
is there a file missing here, or should i not be looking at applying
patches late at night?
Implement a state-of-the-art retrieval function in Lucene
---------------------------------------------------------
Key: LUCENE-965
URL: https://issues.apache.org/jira/browse/LUCENE-965
Project: Lucene - Java
Issue Type: Improvement
Components: Search
Affects Versions: 2.2
Reporter: Hui Fang
Fix For: 3.0
Attachments: axiomaticFunction.patch
We implemented the axiomatic retrieval function, which is a state-
of-the-art retrieval function, to
replace the default similarity function in Lucene. We compared the
performance of these two functions and reported the results at http://sifaka.cs.uiuc.edu/hfang/lucene/Lucene_exp.pdf
.
The report shows that the performance of the axiomatic retrieval
function is much better than the default function. The axiomatic
retrieval function is able to find more relevant documents and
users can see more relevant documents in the top-ranked documents.
Incorporating such a state-of-the-art retrieval function could
improve the search performance of all the applications which were
built upon Lucene.
Most changes related to the implementation are made in
AXSimilarity, TermScorer and TermQuery.java. However, many test
cases are hand coded to test whether the implementation of the
default function is correct. Thus, I also made the modification to
many test files to make the new retrieval function pass those
cases. In fact, we found that some old test cases are not
reasonable. For example, in the testQueries02 of TestBoolean2.java,
the query is "+w3 xx", and we have two documents "w1 xx w2 yy w3"
and "w1 w3 xx w2 yy w3".
The second document should be more relevant than the first one,
because it has more
occurrences of the query term "w3". But the original test case
would require us to rank
the first document higher than the second one, which is not
reasonable.
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Lucene Helpful Hints:
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