Right exactly. I looked into payload initially and realized it wouldn't work for my use case.
On Fri, Oct 9, 2009 at 2:00 PM, Grant Ingersoll <gsing...@apache.org> wrote: > Oops, just reread and realized you wanted query time weights. Payloads are > an index time thing. > > > On Oct 9, 2009, at 5:49 PM, Grant Ingersoll wrote: > > If you are trying to add specific term weights to terms in the index and >> then incorporate them into scoring, you might benefit from payloads and the >> PayloadTermQuery option. See >> http://www.lucidimagination.com/blog/2009/08/05/getting-started-with-payloads/ >> >> -Grant >> >> On Oct 8, 2009, at 11:56 AM, scott w wrote: >> >> Oops, forgot to include the class I mentioned. Here it is: >>> >>> public class QueryTermBoostingQuery extends CustomScoreQuery { >>> private Map<String, Float> queryTermWeights; >>> private float bias; >>> private IndexReader indexReader; >>> >>> public QueryTermBoostingQuery( Query q, Map<String, Float> termWeights, >>> IndexReader indexReader, float bias) { >>> super( q ); >>> this.indexReader = indexReader; >>> if (bias < 0 || bias > 1) { >>> throw new IllegalArgumentException( "Bias must be between 0 and 1" ); >>> } >>> this.bias = bias; >>> queryTermWeights = termWeights; >>> } >>> >>> @Override >>> public float customScore( int doc, float subQueryScore, float valSrcScore >>> ) { >>> Document document; >>> try { >>> document = indexReader.document( doc ); >>> } catch (IOException e) { >>> throw new SearchException( e ); >>> } >>> float termWeightedScore = 0; >>> >>> for (String field : queryTermWeights.keySet()) { >>> String docFieldValue = document.get( field ); >>> if (docFieldValue != null) { >>> Float weight = queryTermWeights.get( field ); >>> if (weight != null) { >>> termWeightedScore += weight * Float.parseFloat( docFieldValue ); >>> } >>> } >>> } >>> return bias * subQueryScore + (1 - bias) * termWeightedScore; >>> } >>> } >>> >>> On Thu, Oct 8, 2009 at 7:54 AM, scott w <scottbl...@gmail.com> wrote: >>> >>> I am trying to come up with a performant query that will allow me to use >>>> a >>>> custom score where the custom score is a sum-product over a set of query >>>> time weights where each weight gets applied only if the query time term >>>> exists in the document . So for example if I have a doc with three >>>> fields: >>>> company=Microsoft, city=Redmond, and size=large, I may want to score >>>> that >>>> document according to the following function: city==Microsoft ? .3 : 0 * >>>> size ==large ? 0.5 : 0 to get a score of 0.8. Attached is a subclass I >>>> have >>>> tested that implements this with one extra component which is that it >>>> allow >>>> the relevance score to be combined in. >>>> >>>> The problem is this custom score is not performant at all. For example, >>>> on >>>> a small index of 5 million documents with 10 weights passed in it does >>>> 0.01 >>>> req/sec. >>>> >>>> Are there ways to make to compute the same custom score but in a much >>>> more >>>> performant way? >>>> >>>> thanks, >>>> Scott >>>> >>>> >> -------------------------- >> Grant Ingersoll >> http://www.lucidimagination.com/ >> >> Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids) using >> Solr/Lucene: >> http://www.lucidimagination.com/search >> >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org >> For additional commands, e-mail: java-user-h...@lucene.apache.org >> >> > -------------------------- > Grant Ingersoll > http://www.lucidimagination.com/ > > Search the Lucene ecosystem (Lucene/Solr/Nutch/Mahout/Tika/Droids) using > Solr/Lucene: > http://www.lucidimagination.com/search > > > --------------------------------------------------------------------- > To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org > For additional commands, e-mail: java-user-h...@lucene.apache.org > >
