I'm fairly new to Elasticsearch and Lucene. I quickly went through the Elasticsearch definitive guide and was able to understand how the scoring is calculated for boolean, term and multi term queries. The basic weighting is TF-IDF and scoring is based on custom VSM. Depending on query construction finalqueryscore = (booleanqueryscore + termscore1+ termscore1.....) where booleanquery, termscores are based on custom VSM.
However, I'm not very clear on what kind of scoring is used for exact and phrase matching ? For exact match, is the score always 1 ? Similar to above, is phrasequeryscore = booleanqueryscore + termscore1+ proximity(Edit Distance)..... ? The only relevant information I found is "Individual queries may combine the TF/IDF score with other factors such as the term proximity in phrase queries, or term similarity in fuzzy queries [1]." How exactly is proximity combined ? [1] https://www.elastic.co/guide/en/elasticsearch/guide/current/relevance-intro.html#explain -- View this message in context: http://lucene.472066.n3.nabble.com/Lucene-Scoring-in-Exact-and-Phrase-Matching-tp4240883.html Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
