Ok. Here it is. https://issues.apache.org/jira/browse/LUCENE-1272
On Tue, Apr 22, 2008 at 2:24 PM, Francisco Sanmartin <[EMAIL PROTECTED]> wrote: > Yep, it would be nice for MLT to have this feature, that's why I am trying > to do it from the querys before sending the query to Solr. These are the > steps I'm following: > > 1. execute a mlt.like() with the text document_example.getTitle() against > the field "Title" of all the other documents. This returns a query > containing the most relevant words in the example_document and in the rest > of documents in the Title. We will call this query "QueryTitle". For example > QueryTitle = (words^0.4 in^0.3 the^0.56 title^0.65) > 2. execute a mlt.like() with the text document_example.getDescription() > against the field "Description" of all the other documents. This returns a > query containin the most relevant words in the example_document and in the > rest of documents in the Description. We will call this query > "QueryDescription". For example QueryDescription = (other^0.66 words^0.7 > in^0.33 the^0.49 description^0.43) > > Up to here, everything is possible with the options that offers MLT. > > Now, with the info MLT gave me (QueryTitle and QueryDescription), i want to > look in Solr for the documents (and more filters) to retrieve the best > matches. But I want QueryTitle to be more important that QueryDescription, > for example 70% and 30% respectively. This means that we should do > QueryTitle^0.70 and QueryDescription^0.30. This means having a query for > Solr like this: > (words^0.4 in^0.3 the^0.56 title^0.65)^0.70 (other^0.66 words^0.7 in^0.33 > the^0.49 description^0.43)^0.30 > > The question is...is Solr able to "understand" a query boosted who has its > terms boosted already? (Remember that MLT returns the "interesting terms" > boosted). This does make sense? Will the words obtained from a mlt.like() on > the title be 70% relevant while the words obtained from a mlt.like() on the > description will be only 30% relevant? > > Of course it would be a nice feature to be able to boost these things > natively and do only one call to MLT...Don't hesitate to contact me if you > need any help on developing this feature. > > > Thanks! > > Pako > > Erik Hatcher wrote: > >> No, the MLT feature does not have that kind of field-specific boosting >> capability. It sounds like it could be a useful enhancement though. Of >> course you do get boosts for "interesting terms" already, but maybe having >> an additional field-specific boost would be a nice touch too. >> >> Erik >> >> On Apr 22, 2008, at 9:13 AM, Francisco Sanmartin wrote: >> >>> I know that only one query of that type does not change anything. But >>> when it's two or more with different boosts, i hope it does. Here is the >>> situation: >>> My docs have "Title" and "Description". What I want to do is to give more >>> relevancy to the morelikethis on the title than on the description. So the >>> query would be like this: >>> >>> query = (words^0.4 in^0.3 the^0.56 title^0.65)^0.70 (words^0.7 in^0.33 >>> the^0.49 description^0.43)^0.30 >>> >>> This way, the words in the title are more relevant than the words in the >>> description, right? >>> >>> Thanks! >>> >>> Pako >>> >>> >>> Erik Hatcher wrote: >>> >>>> >>>> On Apr 21, 2008, at 5:02 PM, Francisco Sanmartin wrote: >>>> >>>>> Is it possible to boost the query that MoreLikeThis returns before >>>>> sending it to Solr? I mean, technically is possible, because you can add a >>>>> factor to the whole query but...does it make sense? (Remember that >>>>> MoreLikeThis can already boosts each term inside the query). >>>>> >>>>> For example, this could be a result of MoreLikeThis (with native >>>>> boosting enabled) >>>>> >>>>> queryResultMLT = (this^0.4 is^0.5 a^0.6 query^0.33 of^0.29 >>>>> morelikethis^0.67) >>>>> >>>>> what I want to do is >>>>> >>>>> queryResulltMLT = (this^0.4 is^0.5 a^0.6 query^0.33 of^0.29 >>>>> morelikethis^0.67)^0.60 <---(notice the boost of 0.60 for the whole >>>>> query) >>>>> >>>> >>>> That last boost wouldn't change the doc ordering at all, so it'd be >>>> kinda useless. >>>> >>>> What are you trying to accomplish? >>>> >>>> Erik >>>> >>>> >>>> >> >> >
