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From Grant Ingersoll <gsing...@apache.org>
Subject Re: MoreLikeThis: How to get quality terms from html from content stream?
Date Sun, 09 Aug 2009 14:17:52 GMT
It's starting to sound like Solr Cell needs a SearchComponent as well,  
that can come before the QueryComponent and can be used to map into  
the other components.  Essentially, take the functionality of the  
extractOnly option and have it feed other SearchComponent.


On Aug 8, 2009, at 10:42 AM, Ken Krugler wrote:

>
> On Aug 7, 2009, at 5:23pm, Jay Hill wrote:
>
>> I'm using the MoreLikeThisHandler with a content stream to get  
>> documents
>> from my index that match content from an html page like this:
>> http://localhost:8080/solr/mlt?stream.url=http://www.sfgate.com/cgi-bin/article.cgi

>> ?f=/c/a/2009/08/06/SP5R194Q13.DTL&mlt.fl=body&rows=4&debugQuery=true
>>
>> But, not surprisingly, the query generated is meaningless because a  
>> lot of
>> the markup is picked out as terms:
>> <str name="parsedquery_toString">
>> body:li body:href  body:div body:class body:a body:script body:type  
>> body:js
>> body:ul body:text body:javascript body:style body:css body:h body:img
>> body:var body:articl body:ad body:http body:span body:prop
>> </str>
>>
>> Does anyone know a way to transform the html so that the content  
>> can be
>> parsed out of the content stream and processed w/o the markup? Or  
>> do I need
>> to write my own HTMLParsingMoreLikeThisHandler?
>
> You'd want to parse the HTML to extract only text first, and use  
> that for your index data.
>
> Both the Nutch and Tika OSS projects have examples of using HTML  
> parsers (based on TagSoup or CyberNeko) to generate content suitable  
> for indexing.
>
> -- Ken
>
>> If I parse the content out to a plain text file and point the  
>> stream.url
>> param to file:///parsedfile.txt it works great.
>>
>> -Jay
>
> --------------------------
> Ken Krugler
> TransPac Software, Inc.
> <http://www.transpac.com>
> +1 530-210-6378
>

--------------------------
Grant Ingersoll
http://www.lucidimagination.com/

Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids)  
using Solr/Lucene:
http://www.lucidimagination.com/search


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