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  2. AOL Search FAQs - AOL Help

    help.aol.com/articles/aol-search-faqs

    Instead, they rely on query language to assist users in finding information. Additionally, search engines have the capacity to adapt and provide context based on user interactions, helping to resolve ambiguities in search queries, such as distinguishing between the bird, the football team, or the band when searching for 'eagles'.

  3. Database index - Wikipedia

    en.wikipedia.org/wiki/Database_index

    Most database software includes indexing technology that enables sub-linear time lookup to improve performance, as linear search is inefficient for large databases. Suppose a database contains N data items and one must be retrieved based on the value of one of the fields. A simple implementation retrieves and examines each item according to the ...

  4. Search for emails in AOL Mail - AOL Help

    help.aol.com/articles/search-for-emails-in-aol-mail

    Use the search feature in AOL Mail to find emails, attachments, photos and calendar invites. Narrow the results by individual category or use the advanced search function to add additional details. Search with a single criteria

  5. Information retrieval - Wikipedia

    en.wikipedia.org/wiki/Information_retrieval

    In the case of document retrieval, queries can be based on full-text or other content-based indexing. Information retrieval is the science [ 1 ] of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

  6. Approximate string matching - Wikipedia

    en.wikipedia.org/wiki/Approximate_string_matching

    Different approximate matchers impose different constraints. Some matchers use a single global unweighted cost, that is, the total number of primitive operations necessary to convert the match to the pattern. For example, if the pattern is coil, foil differs by one substitution, coils by one insertion, oil by one deletion, and foal by two ...

  7. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    One can classify query-plans involving joins as follows: [12] left-deep using a base table (rather than another join) as the inner operand of each join in the plan right-deep using a base table as the outer operand of each join in the plan bushy neither left-deep nor right-deep; both inputs to a join may themselves result from joins

  8. Search engine indexing - Wikipedia

    en.wikipedia.org/wiki/Search_engine_indexing

    Many search engines incorporate an inverted index when evaluating a search query to quickly locate documents containing the words in a query and then rank these documents by relevance. 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 ...

  9. 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.