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  2. Google Sheets - Wikipedia

    en.wikipedia.org/wiki/Google_Sheets

    Google Sheets is a spreadsheet application and part of the free, web-based Google Docs Editors suite offered by Google. Google Sheets is available as a web application; a mobile app for: Android, iOS, and as a desktop application on Google's ChromeOS. The app is compatible with Microsoft Excel file formats. [5]

  3. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    The closeness of a match is measured in terms of the number of primitive operations necessary to convert the string into an exact match. This number is called the edit distance between the string and the pattern. The usual primitive operations are: [1] insertion: cot → coat; deletion: coat → cot; substitution: coat → cost

  4. sameAs - Wikipedia

    en.wikipedia.org/wiki/SameAs

    It provides a bit more flexibility by including variations and additional terms within the search query. This match type covers search terms that include your targeted keyword phrase, along with other words before or after it. When a shopper searches for a keyword phrase containing your targeted phrase and other terms, your ad may appear.

  5. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A simple and inefficient way to see where one string occurs inside another is to check at each index, one by one. First, we see if there is a copy of the needle starting at the first character of the haystack; if not, we look to see if there's a copy of the needle starting at the second character of the haystack, and so forth.

  6. Help:Searching - Wikipedia

    en.wikipedia.org/wiki/Help:Searching

    If you use Google to search Wikipedia, and click on "cache" at the bottom of any result in the search engine results page, you'll see the word(s) that you searched for highlighted in context. (For an overview of how to find and navigate Wikipedia content, see Wikipedia:Contents.

  7. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    Here is an interpretation from information theory. Suppose a query term appears in () documents. Then a randomly picked document will contain the term with probability () (where is again the cardinality of the set of documents in the collection).