Thanks, Otis. I'd try that right away and tell you about the result. And if you come up with any other idea, please let me know - just for the future.
Also thanks to Michael for the discussion. Best regards, Sergey 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? > -- View this message in context: http://www.nabble.com/Implementing-PhraseQuery-and-MoreLikeThis-Query-in-one-app-tp24303817p24309525.html Sent from the Solr - User mailing list archive at Nabble.com.