Short summary: * Multiple simultaneous phrase boosts with different ps2 parameters are working very nicely for me on a few million doc QA system.
* I've submitted an updated patch to Jira incorporating feedback from the jira comments. Will be testing it more this week. https://issues.apache.org/jira/browse/SOLR-2058 On 2010-08-19 Ron Mayer wrote: > Chris Hostetter wrote: >> [Yonik Seeley wrote] >> : Perhaps fold it into the pf/pf2 syntax? >> : pf=text~1^2 // proposed syntax... >> >> Big +1 to this idea ... > ... > I added a ticket here: https://issues.apache.org/jira/browse/SOLR-2058 > and attached my patch to that ticket. Just wanted to comment that has been working extremely well for me; with multiple simultaneous phrase boosts with different slops at the same time. I also cleaned up the patch based on comments in Jira and submitted a newer version. In particular, I find if I use the following: * a high boost(500) on pf with slop of 0 * a moderate boost (50) on pf with a slop of 50 * a moderate boost (50) on pf2 with a slop of 0 * a low boost (10) on pf2 with a slop of 10 it's doing a great job of getting the most relevant document in the #1 spot (thanks to the slop=0 boosts), and a very good job at getting the entire first page of results filled with highly relevant documents (thanks to the shingles and more liberal phrase-slop boosts). I'm even having some luck with a whole bunch of those clauses like the following that has a variety of phrase slops on a variety of fields: http://app2.fli:28983/solr/core0/select?pf=source_doc~1^500+text_stem~1^500+source_doc~50^50+text_stem~20^50&defType=edismax&hl.maxAnalyzedChars=500000&q.alt=*%3A*&ps=1&qt=fliqs&pf2=text_stem^50+text_stem~10^10+text_unstem~10^10&start=0&q=red+baseball+cap+black+leather+jacket&mm=100%25&debugQuery=on&fl=id,score which seems to be returning quickly enough on my collection of 4 million documents: <lst name="responseHeader"> <int name="status">0</int> <int name="QTime">287</int> − <lst name="params"> <str name="mm">100%</str> <str name="pf2">text_stem^50 text_stem~10^10 text_unstem~10^10</str> <str name="q.alt">*:*</str> <str name="hl.maxAnalyzedChars">500000</str> <str name="defType">edismax</str> − <str name="pf"> source_doc~1^500 text_stem~1^500 source_doc~50^50 text_stem~20^50 </str> <str name="debugQuery">on</str> <str name="fl">id,score</str> <str name="start">0</str> <str name="q">red baseball cap black leather jacket</str> <str name="qt">fliqs</str> <str name="ps">1</str> </lst> </lst> ... <str name="parsedquery"> +((DisjunctionMaxQuery((text_stem:red^0.5)~0.01) DisjunctionMaxQuery((text_stem:basebal^0.5)~0.01) DisjunctionMaxQuery((text_stem:cap^0.5)~0.01) DisjunctionMaxQuery((text_stem:black^0.5)~0.01) DisjunctionMaxQuery((text_stem:leather^0.5)~0.01) DisjunctionMaxQuery((text_stem:jacket^0.5)~0.01) )~6) DisjunctionMaxQuery((source_doc:"red baseball cap black leather jacket"~50^50.0)~0.01) DisjunctionMaxQuery((source_doc:"red baseball cap black leather jacket"~1^500.0 | text_stem:"red basebal cap black leather jacket"~1^500.0)~0.01) DisjunctionMaxQuery((text_stem:"red basebal cap black leather jacket"~20^50.0)~0.01) (DisjunctionMaxQuery((text_stem:"red basebal"~1^50.0)~0.01) DisjunctionMaxQuery((text_stem:"basebal cap"~1^50.0)~0.01) DisjunctionMaxQuery((text_stem:"cap black"~1^50.0)~0.01) DisjunctionMaxQuery((text_stem:"black leather"~1^50.0)~0.01) DisjunctionMaxQuery((text_stem:"leather jacket"~1^50.0)~0.01) ) (DisjunctionMaxQuery((text_unstem:"red baseball"~10^10.0 | text_stem:"red basebal"~10^10.0)~0.01) DisjunctionMaxQuery((text_unstem:"baseball cap"~10^10.0 | text_stem:"basebal cap"~10^10.0)~0.01) DisjunctionMaxQuery((text_unstem:"cap black"~10^10.0 | text_stem:"cap black"~10^10.0)~0.01) DisjunctionMaxQuery((text_unstem:"black leather"~10^10.0 | text_stem:"black leather"~10^10.0)~0.01) DisjunctionMaxQuery((text_unstem:"leather jacket"~10^10.0 | text_stem:"leather jacket"~10^10.0)~0.01) ) </str>
