Closed (won't fix)
Project:
Apache Solr Search
Version:
7.x-1.x-dev
Component:
Code
Priority:
Normal
Category:
Feature request
Assigned:
Unassigned
Reporter:
Anonymous (not verified)
Created:
5 Mar 2008 at 18:32 UTC
Updated:
7 Dec 2014 at 17:37 UTC
Comments
Comment #1
pwolanin commentedI think this is superceeded by the mlt functionality
Comment #2
robertdouglass commentedpwolanin - actually, getting the terms from any body of text is different than finding similar text. This would be useful in the current autocomplete effort, for example. It would also be useful for auto-tagging content coming in via FeedAPI. Or for doing term suggestions in autocomplete taxonomy boxes.
Comment #3
robertdouglass commentedComment #4
robertdouglass commentedThe TermComponent of Solr 1.4 doesn't support any filtering. Therefore it's somewhat useful for getting autocomplete suggestions, or seeing how many times a word is in the index, but nothing like what I thought. Postponing.
Comment #5
jpmckinney commentedTaking out of postponed status, as I reserve that status for bugs that are waiting on other issues to move forward.
Nothing is blocking this feature request, so setting to active in 7.x.
Comment #6
jpmckinney commentedI'm confused as to what the feature request is. I'm not sure there is a clear idea here.
Comment #7
BarisW commentedMicrosoft FAST search has this in core (http://sharepoint.microsoft.com/en-us/product/Pages/Feature-Details.aspx...) and I think this would be a great add-on to SOLR. The use case as I see it:
- Ad admin selects one or more vocabularies that will be used as a base to match terms on.
- When indexing, Drupal scans the search index (the already extracted words from the body and CKK fields) for matching terms and, when found, connects these terms with the nodes. However, these terms should imho only be used for filtering in the faceted search, not as normal term. So maybe these terms should be saved not in term_node but in term_auto_node or so?
Is this viable?
Comment #8
pwolanin commentedSolr doesn't work this way, afaikt.