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  2. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  3. Algorithmic curation - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_curation

    A feed of posts curated for a user on the Mastodon social network. Algorithmic curation is the selection of online media by recommendation algorithms and personalized searches. Examples include search engine and social media products [1] such as the Twitter feed, Facebook's News Feed, and the Google Personalized Search.

  4. Social search - Wikipedia

    en.wikipedia.org/wiki/Social_search

    Social search is a behavior of retrieving and searching on a social searching engine that mainly searches user-generated content such as news, videos and images related search queries on social media like Facebook, LinkedIn, Twitter, Instagram and Flickr. [1] It is an enhanced version of web search that combines traditional algorithms. The idea ...

  5. String-searching algorithm - Wikipedia

    en.wikipedia.org/wiki/String-searching_algorithm

    A string-searching algorithm, sometimes called string-matching algorithm, is an algorithm that searches a body of text for portions that match by pattern. A basic example of string searching is when the pattern and the searched text are arrays of elements of an alphabet ( finite set ) Σ.

  6. Filter bubble - Wikipedia

    en.wikipedia.org/wiki/Filter_bubble

    Social media inadvertently isolates users into their own ideological filter bubbles, according to internet activist Eli Pariser. A filter bubble or ideological frame is a state of intellectual isolation [1] that can result from personalized searches, recommendation systems, and algorithmic curation.

  7. RankBrain - Wikipedia

    en.wikipedia.org/wiki/RankBrain

    In a 2015 interview, Google commented that RankBrain was the third most important factor in the ranking algorithm, after with links and content, [2] [3] out of about 200 ranking factors. [4] whose exact functions in the Google algorithm are not fully disclosed. As of 2015, "RankBrain was used for less than 15% of queries."

  8. AOL

    search.aol.com

    The search engine that helps you find exactly what you're looking for. Find the most relevant information, video, images, and answers from all across the Web.

  9. Longest common substring - Wikipedia

    en.wikipedia.org/wiki/Longest_common_substring

    This algorithm runs in () time. The array L stores the length of the longest common suffix of the prefixes S[1..i] and T[1..j] which end at position i and j , respectively. The variable z is used to hold the length of the longest common substring found so far.

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