: package. By implementing new type of tuple (Query,Weight,Scorer) I can : easily implement new Scoring technique. Unfortunatly Lucene index shows that : it stores only TF / Position vectors for each term within document.
: I am interested in investigating new scoring technique where I will : use some other parameters relating to the Term to rank the documents. For an : example web page ranking is assisted by parameters like number of links : towards webpage and number of link from web - page. It indicates that we : need to store relatively more information about terms within the index. But : HoW ? . I need to investigate there is a distinction between storing more information about a term and storing additional information about a document. the flexible payload type approaches that have been discussed should make info about a term easy (ie: the term is "wind", it's type is "noun", it's usage in the sentence is as a "subject", it's importance is "88.3") but you can already store additional information about documents (like the total popularity of a document) in Lucene -- either by using the document boost (if you always want it to be part of the score calculations) or as a seperate field which you can factor into the score calculations using something like FunctionQuery... http://incubator.apache.org/solr/docs/api/org/apache/solr/search/function/package-summary.html ...i use this all the time to make "recent" docs score better, or "more popular docs" score better. -Hoss --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
