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From "Sebastian Nagel (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (NUTCH-2039) Relevance based scoring filter
Date Mon, 15 Jun 2015 14:35:00 GMT

    [ https://issues.apache.org/jira/browse/NUTCH-2039?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14586117#comment-14586117
] 

Sebastian Nagel commented on NUTCH-2039:
----------------------------------------

Thanks, [~sujenshah]! A few comments (I haven't tried to run the plugin):
* if SimilarityScoringFilter is inherited from AbstractScoringFilter it's not necessary to
implement all the "stub" methods (cf. NUTCH-1653)
* the gold-standard file needs to be parsed only once, right? This could be done from SimilarityScoringFilter.setConf(conf)
the resulting DocumentVector is then cached.
* If Nutch is run in Hadoop's distributed mode loading the gold-standard and stopwords file
should be done either from hdfs or from class path as for config files, e.g.
{code}
Reader reader = conf.getConfResourceAsReader(goldStandardFileName);
{code}



> Relevance based scoring filter
> ------------------------------
>
>                 Key: NUTCH-2039
>                 URL: https://issues.apache.org/jira/browse/NUTCH-2039
>             Project: Nutch
>          Issue Type: New Feature
>            Reporter: Sujen Shah
>              Labels: memex, nutch
>             Fix For: 1.11
>
>
> A ScoringFilter plugin that uses a similarity measure to calculate the similarity between
a given page(gold standard) and the currently parsed page. The score obtained from this similarity
is then distributed to its outlinks. This filter aims to focus the crawler to crawl/explore
relevant pages. 



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