search for: weighted_title_query

...ult_prefix, so we have # to provide the flags as well. title_query = queryparser.parse_query(querystring, xapian.QueryParser.FLAG_DEFAULT, "S") Then you need to use OP_SCALE_WEIGHT, as you've identified, to apply the different weightings to the queries parsed against the two fields. weighted_title_query = xapian.Query(xapian.Query.OP_SCALE_WEIGHT, title_query, 4) Finally you need to combine the two weighted queries. You can do this using OP_OR, which will rank higher a document where both the title and the body match. Alternatively, OP_MAX may work better (use whichever side ranks higher, which w...

Hi, I'm using Xapian in Python2. I'm trying to replicate an analysis that somebody else performed in Lucene. To do that I need to do a search for a multi-word query in which particular fields are boosted - preferably at query time. That is, given a query like "the cat is lying on the mat" (with an OR operator, ignoring word positions but with stemming and stop words removed),