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In information retrieval, Okapi BM25 (BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson , Karen Spärck Jones , and others.
Ranking of query is one of the fundamental problems in information retrieval (IR), [1] the scientific/engineering discipline behind search engines. [2] Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.
Reserved words in SQL and related products In SQL:2023 [3] In IBM Db2 13 [4] In Mimer SQL 11.0 [5] In MySQL 8.0 [6] In Oracle Database 23c [7] In PostgreSQL 16 [1] In Microsoft SQL Server 2022 [2]
For example, if a query returns two results with scores 1,1,1 and 1,1,1,1,1 respectively, both would be considered equally good, assuming ideal DCG is computed to rank 3 for the former and rank 5 for the latter. One way to take into account this limitation is to enforce a fixed set size for the result set and use minimum scores for the missing ...
Microsoft SQL Server: Microsoft: 1989 2022 [22] 2022-11-16; 2 years ago Proprietary: No Microsoft SQL Server Compact (Embedded Database) Microsoft: 2000 2011 (v4.0) Proprietary: No Mimer SQL: Mimer Information Technology 1978 11.0.8E 2024-10-22 Proprietary: No MonetDB: MonetDB Foundation [23] 2004 Aug2024 [24] 2024-08-26 Mozilla Public License ...
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Pages in category "Ranking functions" The following 6 pages are in this category, out of 6 total. This list may not reflect recent changes. * Ranking (information ...