Thanks Mark, the call reader.docFreq(categoryTerm) is certainly a good
way to get the nominator part of the IDF formula
(http://en.wikipedia.org/wiki/Tf%E2%80%93idf#Mathematical_details).
However, what is left to get is the denominator. For this I want the
number of in-category documents that each term appears in (again,
categories are in a separate field). Calling reader.docFreq(term) for
this would give me the document frequency in the complete collection,
but I only want the number of documents that the term appears within a
category.
So for a query +CATEGORY:sport TEXT:Johnson, I would like to set the IDF to
log( (number of all sports documents)
/ (number of all sports documents that contain Johnson) )
Is there an efficient way for doing this?
Cheers,
Max
On Mon, Oct 18, 2010 at 2:32 PM, mark harwood <markharw...@yahoo.co.uk> wrote:
> Can you not just call reader.docFreq(categoryTerm) ?
>
> The returned figure includes deleted docs but then the search term uses this
> method too so should suffer from the same inaccuracy.
>
> Cheers
> Mark
>
>
>
> ----- Original Message ----
> From: Max Jakob <max.ja...@fu-berlin.de>
> To: java-user@lucene.apache.org
> Sent: Mon, 18 October, 2010 12:26:33
> Subject: Consider only documents of a category for IDF
>
> Hi,
>
> I would like to change the IDF value of the Lucene similarity
> computation to "inverse document frequency inside category". Not the
> complete collection should be considered, but only the documents that
> have a certain category. The categories are stored as separate fields.
>
> The implementation below works, but it is kind of slow. I was
> wondering if there is a more efficient way than to read the DocIdSet
> from the index for each term.
>
> Thanks in advance for any pointers you might have!
> Regards,
> Max
>
> public class InCategorySimilarity extends DefaultSimilarity {
>
> public InCategorySimilarity() {}
>
> // These objects have to be here so that they are visible across
> multiple executions of idfExplain
> OpenBitSet categoryIdSet;
> long catDocs = 1;
>
> @Override
> public Explanation.IDFExplanation idfExplain(final Term term,
> final Searcher searcher) throws IOException {
> return new Explanation.IDFExplanation() {
> long termCategoryFreq = 0;
> boolean isCategoryField = term.field().equals("CATEGORY");
>
> private long termCategoryFreq() {
> try {
> IndexReader reader = ((IndexSearcher)
> searcher).getIndexReader();
> TermsFilter filter = new TermsFilter();
> filter.addTerm(term);
> OpenBitSet docSet = (OpenBitSet) filter.getDocIdSet(reader);
>
> if (isCategoryField) {
> categoryIdSet = docSet;
> catDocs = categoryIdSet.cardinality();
> } else {
> docSet.and(categoryIdSet);
> }
> termCategoryFreq = docSet.cardinality();
> } catch (IOException e) {
> //handle
> }
> return termCategoryFreq;
> }
>
> public float invCatFreq(long termCategoryFreq, long catDocs) {
> return termCategoryFreq==0 ? 0 : (float) (Math.log(new
> Float(catDocs) / new Float(termCategoryFreq)) + 1.0);
> }
>
> @Override
> public float getIdf() {
> termCategoryFreq = termCategoryFreq();
> float invCatFreq = invCatFreq(termCategoryFreq, catDocs);
> return invCatFreq;
> }
> };
> }
> }
>
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