Sounds useful. I suppose this means one would have custom function for within-bucket-reordering? e.g. for a web search you might reorder based on the URL length if you think shorter URLs are an indicator of higher quality. It also sounds like something that can easily sit outside Lucene....or do you have something else in mind, such as a mechanism to pass a reordering function in Lucene?
Otis -- Sematext -- http://sematext.com/ -- Lucene - Solr - Nutch ----- Original Message ---- From: Andrzej Bialecki <[EMAIL PROTECTED]> To: java-user@lucene.apache.org Sent: Tuesday, January 8, 2008 5:24:01 PM Subject: Re: Wikia search goes live today Ryan McKinley wrote: > Andrzej Bialecki wrote: >> Lukas Vlcek wrote: >>> So staring will be accommodated only during indexing phase. Does it >>> mean it >>> will be pretty static value not a dynamically changing variable... >>> correct? >>> In other words if I add my starts to some document it won't affect the >>> scoring immediately but after indexing cycle. Correct? >> >> (I'm not involved in Wikia development). There are some ways to go >> about it even in the pure Lucene-land, so that the updates are fast >> without reindexing the main content. Hint: ParallelReader. >> > > in solr (1.3-dev) you can have an external value source with a function > query... True, although function query tends to bring more overhead ... While we're on the subject of complex scoring - I read an interesting paper (I don't have a link now), which discussed a so called bucketed scoring. The idea is that if your basic scoring is good enough to ensure that top-N results are highly relevant, then you can split these results into buckets of k documents (let's say 10 ;) ), and within each bucket apply arbitrary re-ranking function, which is then very inexpensive to perform because of the limited number of documents. Example: you have a large corpus of web pages, and you want home pages to appear first, even if they score somewhat lower - and it doesn't pay off to modify the base scoring, because of overfitting, i.e. the scoring would be good for home pages but poor for other relevant documents. -- Best regards, Andrzej Bialecki <>< ___. ___ ___ ___ _ _ __________________________________ [__ || __|__/|__||\/| Information Retrieval, Semantic Web ___|||__|| \| || | Embedded Unix, System Integration http://www.sigram.com Contact: info at sigram dot com --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED] --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
