Hi, Norms are inputs to the score that are independent from the query. It is typically computed as a function of the number of terms of a document: the more terms, the higher the normalization factor and the lower the score.
Lucene computes and indexes length normalization factors automatically for Text fields at index-time, and automatically uses them at search time. There is nothing to do. The way normalization scores are computed and folded into the final score is controlled by the org.apache.lucene.search.similarities.Similarity. Boosts are factors to the score that are independent from the document. You can set them on a query via Lucene's org.apache.lucene.search.BoostQuery. (Note that old Lucene versions had a concept of index-time boosts, which would get combined with the length normalization factor, but it was not recommended and it has been removed.) On Mon, Dec 20, 2021 at 6:08 PM Sowmiya M 4085 <sowmiyakm...@gmail.com> wrote: > > I just want to know what is norms in lucene 4.10.4. > How to implement norms in a program. > What are their types. > What is the difference between boost and norms? > Sample programs on norms -- Adrien --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
