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  2. Ranking (statistics) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(statistics)

    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 ...

  3. Select (SQL) - Wikipedia

    en.wikipedia.org/wiki/Select_(SQL)

    SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.

  4. Category:Ranking functions - Wikipedia

    en.wikipedia.org/wiki/Category:Ranking_functions

    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 ...

  5. Discounted cumulative gain - Wikipedia

    en.wikipedia.org/wiki/Discounted_cumulative_gain

    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 ...

  6. Ranking (information retrieval) - Wikipedia

    en.wikipedia.org/wiki/Ranking_(information...

    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.

  7. Learning to rank - Wikipedia

    en.wikipedia.org/wiki/Learning_to_rank

    Tie-Yan Liu of Microsoft Research Asia has analyzed existing algorithms for learning to rank problems in his book Learning to Rank for Information Retrieval. [1] He categorized them into three groups by their input spaces, output spaces, hypothesis spaces (the core function of the model) and loss functions : the pointwise, pairwise, and ...

  8. Ranking every U.S. state from most to least haunted

    www.aol.com/ranking-every-u-state-most-160000853...

    Many sites, such as L.A.'s Cecil Hotel, in which at least 80 people have died (some under very mysterious circumstances) since it opened in 1924, are still in operation today.

  9. tf–idf - Wikipedia

    en.wikipedia.org/wiki/Tf–idf

    Variations of the tf–idf weighting scheme were often used by search engines as a central tool in scoring and ranking a document's relevance given a user query. One of the simplest ranking functions is computed by summing the tf–idf for each query term; many more sophisticated ranking functions are variants of this simple model.