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In text processing, a proximity search looks for documents where two or more separately matching term occurrences are within a specified distance, where distance is the number of intermediate words or characters. In addition to proximity, some implementations may also impose a constraint on the word order, in that the order in the searched text ...
If no matching case is found, then the default value is used. This is usually specified last with no associated "case" value, as seen in the syntax summary above, but it can also be specified at any point after the test string if the construct | #default = value is used (see the second example below). If no default is specified in either way ...
Wikipedia uses a powerful search engine, with a search box on every page. The search box will navigate directly to a given page name upon an exact match. But, you can force it to show you other pages that include your search string by including a tilde character ~ anywhere in the query.
In computer science, an algorithm for matching wildcards (also known as globbing) is useful in comparing text strings that may contain wildcard syntax. [1] Common uses of these algorithms include command-line interfaces, e.g. the Bourne shell [2] or Microsoft Windows command-line [3] or text editor or file manager, as well as the interfaces for some search engines [4] and databases. [5]
In the normal case, we only have to look at one or two characters for each wrong position to see that it is a wrong position, so in the average case, this takes O(n + m) steps, where n is the length of the haystack and m is the length of the needle; but in the worst case, searching for a string like "aaaab" in a string like "aaaaaaaaab", it ...
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.
For example, you can add a matching cover page, header, and sidebar. Click the Insert tab and then choose the elements you want from the different galleries. Themes and styles also help keep your document coordinated. When you click on Design and choose a new Theme, the pictures, charts, and SmartArt graphics change to match your new theme.
Because the inverted index stores a list of the documents containing each word, the search engine can use direct access to find the documents associated with each word in the query in order to retrieve the matching documents quickly. The following is a simplified illustration of an inverted index: