Hmm, I am not sure about how it could be achieved but my task is to produce a similar score for articles with similar content but different distribution of this content to text objects. Maybe something like creating a temporary document from the text objects and computing its score instead of just aggregating the text scores would do the trick?
Thanks, Manuel On 07.11.2013, at 13:22, Michael McCandless <luc...@mikemccandless.com> wrote: > 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 > > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
