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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. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    t. e. Search engine optimization ( SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. [ 1][ 2] SEO targets unpaid traffic (known as "natural" or "organic" results) rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches ...

  4. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    Google Search (also known simply as Google or Google.com) is a search engine operated by Google. It allows users to search for information on the Internet by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.

  5. Spamdexing - Wikipedia

    en.wikipedia.org/wiki/Spamdexing

    Spamdexing (also known as search engine spam, search engine poisoning, black-hat search engine optimization, search spam or web spam) [1] is the deliberate manipulation of search engine indexes. It involves a number of methods, such as link building and repeating unrelated phrases, to manipulate the relevance or prominence of resources indexed ...

  6. Okapi BM25 - Wikipedia

    en.wikipedia.org/wiki/Okapi_BM25

    Okapi BM25. In information retrieval, Okapi BM25 ( BM is an abbreviation of best matching) is a ranking function used by search engines to estimate the relevance of documents to a given search query. It is based on the probabilistic retrieval framework developed in the 1970s and 1980s by Stephen E. Robertson, Karen Spärck Jones, and others.

  7. PageRank - Wikipedia

    en.wikipedia.org/wiki/PageRank

    The percentage shows the perceived importance, and the arrows represent hyperlinks. PageRank ( PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages.

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