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https://issues.apache.org/jira/browse/SOLR-651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12641784#action_12641784
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Grant Ingersoll commented on SOLR-651:
--------------------------------------
{quote}
a) if one set qt=tvrh tv=true does not make sense as the user is anyway
requesting term vectors.
{quote}
qt=tvrh is setting the request handler. tv=true is turning on the
TermVectorComponent (TVC). Those are two separate actions. The TVC can be
added to any ReqHandler.
{quote}
b) Repeating uniqueKeyFieldName for every record does not add any value.
{quote}
Good point. I will move that out.
{quote}
c) Ideally what I would have liked is something below.
<response>
<lst name="termVectors">
<lst name="firstdoc">
<str name="term1">term1tf-idf</str>
<str name="term2">term1tf-idf</str>
....
{quote}
Can you make a case for that? I have a couple of issues with it. First, the
term is incorrectly typed. Presumably TF-IDF is a double. Second, it requires
Solr to do TF*IDF for every term, when not everyone will want that, thus it
would be a wasted calculation. I suppose it could be an option to have Solr
do it, though.
Are you proposing not to return the other info or is this just in the case
where tf = true and idf = true?
> A SearchComponent for fetching TF-IDF values
> --------------------------------------------
>
> Key: SOLR-651
> URL: https://issues.apache.org/jira/browse/SOLR-651
> Project: Solr
> Issue Type: New Feature
> Affects Versions: 1.3
> Reporter: Noble Paul
> Assignee: Grant Ingersoll
> Priority: Minor
> Fix For: 1.4
>
> Attachments: SOLR-651.patch, SOLR-651.patch, SOLR-651.patch
>
>
> A SearchComponent that can return TF-IDF vector for any given document in the
> SOLR index
> Query : A Document Number / a query identifying a Document
> Response : A Map of term vs.TF-IDF value of every term in the Selected
> Document
> Why ?
> Most of the Machine Learning Algorithms work on TFIDF representation of
> documents, hence adding a Request Handler proving the TFIDF representation
> will pave the way for incorporating Learning Paradigms to SOLR framework.
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