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What a user may want from a search engine is to receive relevant results, and to receive them fast.
We want to illustrate it by means of the example of a personalized search engine.
You want to be located by a search engine, and so on.
The results may also be indexed by a search engine, which may then be used to process queries.
This agent takes keywords from bookmarks and uses them to augment queries and re-rank search engine results.
In some countries, filters imposed by the government block sites, so that search engine results for controversial topics yield sites that cannot be accessed.
The parts that were described in the beginning of this section (query construction, search engine, answer sorting and display) do not need much time.
This type of search engine yields fewer hits than general search engines, but they are usually more relevant.
We present a rule-based fuzzy search engine that allows users to retrieve text data independently of its orthographical realization.
Furthermore, the search engine of many agencies' websites did not perform satisfactorily.
The search engine searches on the intents and names from the flat files and retrieves the appropriate source code from the code database.
The online concordance uses a customized search engine to consider approximately 23 transcripts (totaling 222,100 words) and is constantly being supplemented.
Information retrieval by means of the computer's search engine takes much less time than thumbing through the pages of an alphabetic dictionary.
One typical situation is when a web search engine presents a small amount of text from each document that matches a certain query.
When one uses a web search engine, then typically the search phrase is under-specified.
