Have a look at: * http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/analysis-delimited-payload-tokenfilter.html * http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/modules-advanced-scripting.html
On 23 August 2014 15:04, Scott Decker <sc...@publishthis.com> wrote: > Hey all, > a question on possible search paths/structure. If we have a text > document, and we have run our magic over it and come away with Topics and > Entities (Like, Barack Obama and Apple Inc.) and we have a relevancy score > for each one, what would be the best way to store and query against them? > > we currently are trying a parent/child relationship, where the children > are the terms with their relevancy score and the scoring of the parent text > document gets done from the relevancy scores of the children. That works. > Just worried about speed of parent/child against millions of documents. > > Another way we could think of was, build our own scorer/analyzer. If we > are reading in tokens like BarackObama.93345|AppleInc.0034 > where it has the topic and the relevancy score to the document in it, i > can build an analyzer to read those sorts of tokens, but is there any way > to build a scorer that can use that token match data to score? > > and third, is there any other way to normalize this data into one document > so we can score on it. That seems like it would be the fastest way to > query, but my #2 option here is the only way I can think of doing it. > Anyone else tagging their documents with relevancy scores to topics, on the > document and then letting people search for those topics and pulling back > the relevant docs based on the per document relevancy scores? > > Thanks, > Scott > > -- > You received this message because you are subscribed to the Google Groups > "elasticsearch" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to elasticsearch+unsubscr...@googlegroups.com. > To view this discussion on the web visit > https://groups.google.com/d/msgid/elasticsearch/9434db79-363f-4470-bf91-b960908c2de6%40googlegroups.com > <https://groups.google.com/d/msgid/elasticsearch/9434db79-363f-4470-bf91-b960908c2de6%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "elasticsearch" group. To unsubscribe from this group and stop receiving emails from it, send an email to elasticsearch+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/elasticsearch/CAPt3XKQmp%3D4Tjft6REtvWZ-2%3DmhqPqnnk-OXtK3oPqw4iNFJmw%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
