Help:CirrusSearch/de

CirrusSearch ist die neue Suchmaschine für MediaWiki. Sie weist wesentliche Verbesserungen gegenüber der alten Suchmaschine LuceneSearch auf.

Häufig gestellte Fragen
Falls deine Frage hier nicht beantwortet wird, stelle sie auf der Diskussionsseite. Jemand wird dir dann darauf antworten.

Was wurde verbessert?
Die neue Suchmaschine weist drei wesentliche Verbesserungen gegenüber der alten Suchmaschine auf, namentlich:


 * Bessere Unterstützung für Suchanfragen in unterschiedlichen Sprachen.
 * Schnellere Aktualisierungen für den Suchindex, d. h. Änderungen an Artikeln werden viel schneller in den Suchergebnissen sichtbar.
 * Expandieren von Vorlagen, d. h. der gesamte Vorlageninhalt von Artikeln wird in den Suchergebnissen angezeigt.

Aktualisierungen
Der Suchindex wird nahezu in Echtzeit aktualisiert. Deine Änderungen sollten nun sofort sichtbar sein. Bei Änderungen an Vorlagen werden innerhalb weniger Minuten sämtliche betroffenen Artikel umgeändert sein. Da Änderungen von Vorlagen über die Jobwartschlange abgearbeitet werden, kann die Geschwindigkeit der Abarbeitung variieren. Eine Null-Bearbeitung des jeweiligen Artikels führt ebenfalls zu einer Aktualisierung, sollte aber kaum notwendig sein, wenn alles wie gedacht läuft.

Suchvorschläge
Wenn du etwas in das Suchfeld eingibst, das dir mögliche Seiten zu Auswahl gibt, dann sind die Ergebnisvorschläge, die du erhältst inhaltlich dieselben, wie die Artikel sortiert nach der Anzahl der eingehenden Links. Anzumerken ist, dass, wenn du deine Suche mit einer ~ beginnst, wir keine Artikel finden, während du schreibst, und du kannst gefahrlos zu jeder Zeit Eingabe drücken, um auf die Ergebnisseite zu kommen.

ASCII/accents/diacritics folding is turned on for English text, but there are some formatting problems with the result. See 52656.

Volltextsuche
Die Volltextsuche (also die die Seite mit den Suchergebnissen für dich produziert) sucht in Titel, Umleitungen, Überschriften und Artikeltext und sollte keine Überraschungen mit sich bringen. Der große Unterschied hier ist, das Vorlagen expandiert werden.

Es gibt einige wichtige, offene Fehler:


 * Strict phrase matches (those that turn off stemming) aren't always properly highlighted

Filter (intitle:, und incategory:)


Wir haben hier die Syntax ganz ordentlich gestrafft.


 * intitle:foo
 * Findet Artikel, deren Titel foo enthält. 'Stemming' für foo ist aktiviert.
 * intitle:"foo bar"
 * Findet Artikel, deren Titel foo und bar enthält. 'Stemming' für foo und bar ist aktiviert.
 * intitle:foo bar
 * Findet Artikel deren Titel foo enthält und deren Titel oder Text bar enthält.
 * -intitle:foo bar
 * Findet Artikel, deren Titel nicht foo enthält und deren Titel oder Text bar enthält.
 * intitle: foo bar
 * Syntax error, devolves into searching for articles whose title or text contains intitle:, foo, and bar.
 * incategory:Musik
 * Findet Artikel aus der Kategorie:Musik
 * incategory:"Musik Geschichte"
 * Findet Artikel aus der Kategorie:Musik_Geschichte
 * incategory:"musicals" incategory:"1920"
 * Find articles that are in both Category:Musicals and Category:1920
 * -incategory:"musicals" incategory:"1920"
 * Find articles that are not in Category:Musicals but are in Category:1920
 * cow*
 * Find articles whose title or text contains words that start with cow

prefix:
The prefix: syntax in its current form is relied upon for a bunch of functionality so it's been recreated as exactly as possible.


 * prefix:cow
 * Find articles in the content namespaces whose title starts with the word "cow".
 * domestic prefix:cow
 * Find articles in the content namespaces whose title starts with the word "cow" and that contain the word "domestic".
 * domestic prefix:Cow/
 * Find all sub-pages of the article "Cow" in the content namespaces that contain the word "domestic". This is a very common search and is frequently built using a special URL parameter called.
 * domestic prefix:Talk:Cow/
 * Find all sub-pages of the talk page "Talk:Cow" in the talk namespace that contain the word "domestic".
 * cow prefix:Pink Floyd/
 * Find all sub-pages of the article "Pink Floyd" in the content namespaces that contain the word "cow". The space is now insignificant.

Note that the old rule of having to put prefix: at the end of the query still applies.

Special prefixes

 * morelike:Endothermic
 * Find articles whose text is similar to Endothermic.
 * Talk:Foo
 * Find articles in the talk namespace whose title or text contains the word foo

Did you mean
"Did you mean" suggestions are designed to notice if you misspell an uncommon phrase that happens to be an article title. If so, they'll let you know. They also seem to suggest more things then they ought to sometimes.

Prefer phrase matches
If you don't have too much special syntax in your query we'll give perfect phrase matches a boost. I'm being intentionally vague because I'm not sure exactly what "too much special syntax" should be. Right now if you add any explicit phrases to your search we'll turn off this feature.

Fuzzy search
Putting a ~ after a search term (but not double quotes) activates fuzzy search. You can also put a number from 0 to 1 to control the "fuzziness" fraction, e.g. nigtmare~.9 or lighnin~.1 or lighnin~0.1. Closer to one is less fuzzy.

Phrase search and proximity
Surrounding some words with quotes declares that you are searching for those words close together. You can add a ~ and then a number after the second quote to control just how close you mean. The proper name for this "closeness" is "phrase slop". The default "phrase slop" is 1.

Quotes and exact matches
Quotes turn on exact term matches. You can add a ~ to the quote to go back to the more aggressive matcher you know and love.

prefer-recent:
You can give recently edited articles a boost in the search results by adding "prefer-recent:" to the beginning of your search. By default this will scale 60% of the score exponentially with the time since the last edit, with a half life of 160 days. This can be modified like this: "prefer-recent:,". proportion_of_score_to_scale must be a number between 0 and 1 inclusive. half_life_in_days must be greater than 0 but allows decimal points. This number works pretty well if very small. I've tested it around .0001, which is 8.64 seconds.

This will eventually be on by default for Wikinews, but there is no reason why you can't activate it in any of your searches.

hastemplate:
You can filter pages to just those that use a template by adding  to the search. We try to emulate the template inclusion syntax so  finds pages with   and   would find transclusions of the article   from the main namespace. You can omit the quotes if the template's title you are looking for does not contain a space. will filter pages that contain that template.

You can combine all sorts of fun search syntax to get only middle quality images of china.

boost-templates:
You can boost pages scores based on what templates they contain. This can be done directly in the search via  or you can set the default for all searches via the new   message. replaces the contents of  if the former is specified. The syntax is a bit funky but was chosen for simplicity. Some examples:
 * Find files in the China category sorting quality images first.
 * Find files in the China category sorting quality images first.


 * Find files in the China category sorting quality images first and low quality images last.
 * Find files in the China category sorting quality images first and low quality images last.


 * Find files about popcorn sorting quality images first and low quality images last. Remember that through the use of the  message this can be reduced to just.
 * Find files about popcorn sorting quality images first and low quality images last. Remember that through the use of the  message this can be reduced to just.

Don't try to add decimal points to the percentages. They don't work and search scoring is such that they are unlikely to matter much.

A word of warning about : if you add really really big or small percentages they can poison the full text scoring. Think, for example, if enwiki boosted featured articles by a million percent. Then searches for terms mentioned in featured articles would find the featured articles before exact title matches of the terms. Phrase matching would be similarly blown away so a search like  would find a featured article with those words scattered throughout it instead of the article for Brave New World.

Sorry for the inconsistent  in the name. Sorry again but the quotes are required on this one. Sorry also for the funky syntax. Sorry we don't try to emulate the template transclusion syntax like we do with.