Ranking: BM25+
Introduction The BM25+ is a ranking algorithm used to rank text documents based on a relevance score. It is used in search engines to determine which documents are the most relevant given a terms query. The algorithm implemented is based on the Improvements to BM25 and Language Models Examined paper. Implementation An index can be used to index the terms and the documents in which the terms occur: 1 2 [term: apples] - doc1, doc2, doc3 [term: grapes] - doc2, doc4 When a user queries using the apples term then doc1, doc2 and doc3 is returned. To score doc1, doc2 anddoc3 based on relevance the BM25+ algorithm is used. ...