Alas, the scoring is very simple: just what you see in the ScoreMode enum. But this is something that we should fix, e.g. we should at least open up a method so the app can do its own score aggregation.
What scoring/model do you have in mind? Mike McCandless http://blog.mikemccandless.com On Thu, Nov 7, 2013 at 7:08 AM, Manuel Amoabeng <mamoab...@vjoon.com> wrote: > Thanks for pointing me to the lucene-join module. > Does the ToParentBlockJoinQuery produce the scores in a more sophisticated > way than the ScoreMode enum suggests? > Actually finding the related entities is not my problem, I am only having > trouble to produce scores consistent with the overall content of an article. > > Thanks, > > Manuel > > > > On 07.11.2013, at 12:08, Michael McCandless <luc...@mikemccandless.com> wrote: > >> Maybe the join module fits here? For example you can join "up" to a >> single parent from multiple child hits. I described one of the >> options (now called ToParentBlockJoinQuery) here: >> http://blog.mikemccandless.com/2012/01/searching-relational-content-with.html >> but there is also query-time joining now as well, which Martijn >> described here: >> http://blog.trifork.com/2012/01/22/query-time-joining-in-lucene/ >> >> Mike McCandless >> >> http://blog.mikemccandless.com >> >> >> On Thu, Nov 7, 2013 at 5:59 AM, Manuel Amoabeng <mamoab...@vjoon.com> wrote: >>> Hello everybody, >>> >>> >>> I am currently working on an index where the documents only represent parts >>> of the entities that should be searchable: >>> We have text objects indexed as independent documents but actually want to >>> find articles the text objects are placed on. We also need to provide an >>> indication of the relevance of the matched articles. >>> In this scenario the way the content of an article is distributed in text >>> objects will determine how many hits representing the article are present >>> in TopDocs.scoreDocs and what score they carry. >>> >>> Is there are a way to aggregate the scores for logically connected >>> ScoreDocs so that the result would be similar to the score a single >>> document containing all matched content would have gotten? >>> >>> >>> Thanks and best regards, >>> >>> Manuel >>> >>> >>> >>> >>> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
