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Search for an exact string using a simple regexp; pretest a small search domain. Hack out a highly refined set of page characteristics with concern only for an exact count of pages; refine in a sandbox and on the search results page. The concept of a search domain plays an important part in all this. By default it is just article space, but in ...
View Search History. You can view your Search History by clicking on the History drop-down arrow at the upper-right corner of the page. This feature is available only when you are signed in. Manage Search History. To manage your Search History, click on the History drop-down arrow in the upper-right corner of the search results page. This will ...
To use the search box, click in it, or jump to it by pressing ⇧ Shift+Alt+F, and type in your search string. Then, either click ↵ Enter, or the Search button. If your search matches a page name exactly, search will navigate to the page directly instead of showing search results.
And if you ever use a public computer, always clear your search history after each session. Installing and running a powerful tool like System Mechanic can assist in keeping your browsing history ...
Recent changes (and the recent changes patrol) Enhanced recent changes Page history User contributions pages Talk pages Recent changes page Patrolling the recent changes Watching pages Public watchlists Related changes page Using "What links here" Diff pages Keyboard shortcuts Special pages
Note: Clearing your search history only stops your search history from being used for product features like predicting what you're searching for. It does not stop your search information from being used to personalize the ads and content you see.
From this diff, you can work out in which of the three parts of the history the change occurred. Repeat this process, narrowing the "search space" by a factor of three each time, until the precise edit where the change was made is identified. You can also use the external WikiBlame tool, which automates this searching process.
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]