Thanks. That worked like a charm. On Tuesday, March 18, 2014 7:50:01 PM UTC+5:30, Honza Král wrote: > > Hi Pratik, > > in Lucene query syntax, which is what query_string uses, supports > boosting of terms with ^N notation (0), so > > "Arvind^6 Kejriwal^6 India Today economic times" > > will mark the two first terms as more important. > > 0 - > http://lucene.apache.org/core/2_9_4/queryparsersyntax.html#Boosting%20a%20Term > > > Hope this helps, > Honza > > On Tue, Mar 18, 2014 at 11:25 AM, Pratik Poddar > <[email protected]<javascript:>> > wrote: > > > > Hey, > > > > Sorry for the noob question. Realy appreciate if someone can help me > through > > this. I am using Elastic Search python. I am search a string like > "Arvind > > Kejriwal India Today Economic Times" and it gives me reasonable results. > I > > was hoping I could increase weight of the first words more in the search > > query. How can I do that? > > > > res = es.search(index="article-index", fields="url", body={"query": > > {"query_string": {"query": keywordstr, "fields": ["text", "title", > "tags", > > "domain"]}}}) > > > > I am using the above command to search right now. > > > > > http://stackoverflow.com/questions/22476315/elastic-search-boost-query-corresponding-to-first-search-term > > > > > -- > > You received this message because you are subscribed to the Google > Groups > > "elasticsearch" group. > > To unsubscribe from this group and stop receiving emails from it, send > an > > email to [email protected] <javascript:>. > > To view this discussion on the web visit > > > https://groups.google.com/d/msgid/elasticsearch/8cecfda7-ab8b-4d0a-9a30-babd869b39c4%40googlegroups.com. > > > > For more options, visit https://groups.google.com/d/optout. >
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