When customizing scoring beyond what's available in the Query API, there's a couple of layers you can work in
1. Create a Solr query parser -- not too hard, just requires very light Java/Lucene skills. This involves taking a query string and query params from Solr and digesting them into Lucene queries. You need to work with the existing library of Lucene queries. 2. Custom Score queries -- you want to use a built-in Lucene query to decide what documents should *match*, but you want to customize the *score* generated 3. Custom similarity -- you want to control how the search engine computes factors like norms, term frequency, etc that get used in the normal scoring process 4. Custom query -- I call this the "nuclear option" -- you want to customize matching and scoring. how the search engine decides which documents to return AND assigns them scores This has come up time-to-time in my work. So I've blogged/spoken about it http://opensourceconnections.com/blog/2014/01/20/build-your-own-custom-lucene-query-and-scorer/ https://www.youtube.com/watch?v=UotgfwNpqrs Hope that helps, -- *Doug Turnbull **| *Search Relevance Consultant | OpenSource Connections, LLC | 240.476.9983 | http://www.opensourceconnections.com Author: Taming Search <http://manning.com/turnbull> from Manning Publications This e-mail and all contents, including attachments, is considered to be Company Confidential unless explicitly stated otherwise, regardless of whether attachments are marked as such. On Wed, Apr 15, 2015 at 7:49 AM, מאיה גלעד <maiki...@gmail.com> wrote: > Hello, > > I'm using solr and indexing vectors into fields. > In some cases when I search for documents I want to do it based on the > fields containing the vector. > I have an algorithm which defines a score to the document. > The document's score is based on vector multiplication and on an input > vector given in the url. > > What is the best way in order to implement the search? > > Thank you, > Maya >
