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From SergeyG <sgoldb...@mail.ru>
Subject Re: Implementing PhraseQuery and MoreLikeThis Query in one app
Date Thu, 02 Jul 2009 16:26:38 GMT

wunder, thank you. (Sorry, I'm not sure this is your first name). I thought
the MoreLikeThis query normally uses tf.idf of the terms when deciding what
terms are the most important (not the most frequent). And if this is not the
case, how can I change its behavior?



SergeyG wrote:
> 
> Hi,
> 
> Recently I've posted a question regarding using stop words in a
> PhraseQuery and in a MoreLikeThis query in the same app. I posted it
> twice. Unfortunately I didn't get any responses. I realize that the
> question might not have been formulated clearly. So let me reformulate it.
> 
> Can both queries - PhraseQuery and MoreLikeThis Query - be implemented in
> the same app taking into account the fact that for the former to work the
> stop words list needs to be included and this results in the latter
> putting stop words among the most important words? Or these two queries
> need to use two different indexes and thus have to be implemented in
> different applications or in different cores of Solr (with different
> schema.xml files: one with the StopWord Filter and another without it.)?
> 
> Any opinion will be highly appreciated. 
> 
> Thank you.
> 
> Redards,
> Sergey Goldberg
> 
> 
> P.S. Just for the reference, here is my original message.
> 
> 1. There're 3 kinds of searches in my application: a) PhraseQuery search;
> b) search for separate words; c) MLT search. The problem I encountered is
> in the use of a stop words list. If I don't take it into account, the MLT
> query picks up common words as the most important words what is not right.
> And when I use it, the PhraseQuery stops working. I tried it with the ps
> and qs parameters (ps=100, qs=100) but that didn't change anything. (Both
> indexed fields are of type text, the StandardAnalyzer is applied, and all
> docs are in English.)
> 
> 2. Do I understand it right that the query
> q=id:1&mlt=true&mlt.fl=content&...
> should bring back documents where the most important words are in the set
> of those for the doc with id=1?
> 

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