It is a booleanQuery that uses the boosting:
I created a Similiarity class that returns the payload
and I create the query using the following way:
BooleanQuery bq = new BooleanQuery();
String[] splitWorlds = worlds.split(" ");
for(int i = 0; i < splitWorlds.length; i++)
{
if(wordsWorldsFreqMap.getMap().get(word).get(Long.parseLong(splitWorlds[i]))
!= null)
{
double boost=
wordsWorldsFreqMap.getMap().get(word).get(Long.parseLong(splitWorlds[i]));
// gets the boost value from outside source
BoostingTermQuery tq = new BoostingTermQuery(new Term(fieldName,
splitWorlds[i]));
tq.setBoost((float) boost);
bq.add(tq, BooleanClause.Occur.SHOULD);
}
}
Similarity:
public class WordsSimilarity extends DefaultSimilarity
{
public WordsSimilarity()
{
}
public float tf(float freq)
{
return super.tf(freq); // freq > 0 ? 1.0f : 0.0f;
}
public float scorePayload(byte[] payload, int offset, int length)
{
// if(length == 1)
// {
return payload[offset];
// }
}
public float scorePayload(String fieldName, byte[] payload, int offset, int
length)
{
//Do nothing
return payload[offset];
}
}
I use it since I want to give differnt weight for different terms.
2009/5/26 Grant Ingersoll <gsing...@apache.org>
> What's a BoostingBooleanQuery?
>
>
> On May 24, 2009, at 7:09 AM, liat oren wrote:
>
> Hi,
>> I have an index of 3 million documents.
>> I perform a regular search, using an analyzer and get the results within
>> 1-2
>> minutes.
>> When I create a boostingBooleanQuery, and search within the index using a
>> similiarity that the scorePayload return the boosting value, the search
>> takes about 10 minutes.
>> This is done by parsing a text - each word appears once, but its boosting
>> value is affected by the frequencies.
>>
>> Is it because I have to index the documnets using a differnt analyzer?
>> How can it be done?
>>
>> Thanks a lot,
>> Liat
>>
>
> --------------------------
> Grant Ingersoll
> http://www.lucidimagination.com/
>
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