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From "Grant Ingersoll (JIRA)" <j...@apache.org>
Subject [jira] Commented: (SOLR-769) Support Document and Search Result clustering
Date Mon, 27 Jul 2009 16:30:15 GMT

    [ https://issues.apache.org/jira/browse/SOLR-769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12735643#action_12735643
] 

Grant Ingersoll commented on SOLR-769:
--------------------------------------

OK, I have committed my changes and believe functionality is restored and is properly working
with the SolrResourceLoader.  Also applied Stanislaw's patch.

Still likely need to review how to distribute all of this.  My guess is that we should only
include the source, including the build and instructions for installing, and not even package
jars at all since we can't include the LGPL ones necessary for Carrot2.

> Support Document and Search Result clustering
> ---------------------------------------------
>
>                 Key: SOLR-769
>                 URL: https://issues.apache.org/jira/browse/SOLR-769
>             Project: Solr
>          Issue Type: New Feature
>            Reporter: Grant Ingersoll
>            Assignee: Grant Ingersoll
>            Priority: Minor
>             Fix For: 1.4
>
>         Attachments: clustering-componet-shard.patch, clustering-libs.tar, clustering-libs.tar,
SOLR-769-analyzerClass.patch, SOLR-769-lib.zip, SOLR-769.patch, SOLR-769.patch, SOLR-769.patch,
SOLR-769.patch, SOLR-769.patch, SOLR-769.patch, SOLR-769.patch, SOLR-769.patch, SOLR-769.patch,
SOLR-769.patch, SOLR-769.patch, SOLR-769.patch, SOLR-769.patch, SOLR-769.tar, SOLR-769.zip,
subcluster-flattening.patch
>
>
> Clustering is a useful tool for working with documents and search results, similar to
the notion of dynamic faceting.  Carrot2 (http://project.carrot2.org/) is a nice, BSD-licensed,
library for doing search results clustering.  Mahout (http://lucene.apache.org/mahout) is
well suited for whole-corpus clustering.  
> The patch I lays out a contrib module that starts off w/ an integration of a SearchComponent
for doing clustering and an implementation using Carrot.  In search results mode, it will
use the DocList as the input for the cluster.   While Carrot2 comes w/ a Solr input component,
it is not the same as the SearchComponent that I have in that the Carrot example actually
submits a query to Solr, whereas my SearchComponent is just chained into the Component list
and uses the ResponseBuilder to add in the cluster results.
> While not fully fleshed out yet, the collection based mode will take in a list of ids
or just use the whole collection and will produce clusters.  Since this is a longer, typically
offline task, there will need to be some type of storage mechanism (and replication??????)
for the clusters.  I _may_ push this off to a separate JIRA issue, but I at least want to
present the use case as part of the design of this component/contrib.  It may even make sense
that we split this out, such that the building piece is something like an UpdateProcessor
and then the SearchComponent just acts as a lookup mechanism.

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