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Microsoft Excel provides two ranking functions, the Rank.EQ function which assigns competition ranks ("1224") and the Rank.AVG function which assigns fractional ranks ("1 2.5 2.5 4"). The functions have the order argument, [1] which is by default is set to descending, i.e. the largest number will have a rank 1. This is generally uncommon for ...
Custom functions SQL LINQ [19] Visualization JSON REST API; Apache Doris No No No No Yes [20] Yes No Superset, Redash, Metabase, Tableau, Qlik, Pivot, PowerBI Yes Yes Apache Druid: No No No No Yes Druid SQL No Superset, Pivot, Redash Yes Yes Apache Kylin: Yes No Yes No Yes Yes Superset, Zeppelin, Tableau, Qlik, Redash, Microsoft Excel Yes Yes ...
Linter SQL RDBMS: Proprietary MariaDB: GPL MaxDB: Proprietary Microsoft SQL Server: Proprietary Microsoft SQL Server Express: Proprietary Microsoft Visual FoxPro: Proprietary Mimer SQL: Proprietary MonetDB: MPL/GPL/LGPL mSQL: GPL MySQL: GPL Netezza: Proprietary NexusDB: Proprietary NonStop SQL: Proprietary NuoDB: Proprietary Omnis Studio ...
Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).
It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others. The name of the actual ranking function is BM25 . The fuller name, Okapi BM25 , includes the name of the first system to use it, which was the Okapi information retrieval system, implemented at London ...
Microsoft SQL Server, Cosmos DB: Search engine from Microsoft. eBay: 285,000,000 JavaScript: Java, [24] JavaScript, [25] Scala [26] Oracle Database: Online auction house. MSN: 280,000,000 JavaScript: C# Microsoft SQL Server: An email client, for simple use. Previously known as "messenger", not to be confused with Facebook's messaging platform ...
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The nDCG values for all queries can be averaged to obtain a measure of the average performance of a search engine's ranking algorithm. Note that in a perfect ranking algorithm, the will be the same as the producing an nDCG of 1.0. All nDCG calculations are then relative values on the interval 0.0 to 1.0 and so are cross-query comparable.