We're doing something similar: We want to combine search relevancy with a fitness value computed from several other data sources.
For this, we pre-compute the fitness value for each document and store it a flat file (lines of the format document_id=fitness_score) that we use an externalFileField<http://lucene.apache.org/solr/api/org/apache/solr/schema/ExternalFileField.html> to access from Solr. This file can be updated at regular intervals, e.g. to reflect recent views or up/downvotes. It is re-read by solr on every commit. The fitness field can then be included as a boost field in a (e)dismax query. /Martin On Thu, Mar 29, 2012 at 9:56 AM, mads <mads...@yahoo.dk> wrote: > Hello everyone! > > I am new to Solr and I have been doing a bit of reading about boosting > search results. My search index consists of products with different > attributes like a title, a description, a brand, a price, a discount > percent > and so on. I would like to do a fairly complex boosting, so that for > example > a hit on the brand name, a low price, a high discount percent is boosted > compared to a hit in the title, higher prices etc. Basically I would like > to > make a more "intelligent" search with a my self-defined boosting algorithm > of definition. I hope it makes sense. My question is if more experienced > Solr people considers this possible, and how I can get started on this > project? Is it possible to do a kind of a plugin, or? > > Regards Mads > > -- > View this message in context: > http://lucene.472066.n3.nabble.com/Solr-advanced-boosting-tp3867025p3867025.html > Sent from the Solr - User mailing list archive at Nabble.com. >
