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  2. List of academic databases and search engines - Wikipedia

    en.wikipedia.org/wiki/List_of_academic_databases...

    List of academic databases and search engines. This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles. Databases and search engines differ ...

  3. Search engine evaluation - Wikipedia

    en.wikipedia.org/wiki/Search_engine_evaluation

    Search engine evaluation is covered by multiple articles: Comparison of web search engines, which is qualitative and lists the qualities of popular search engines. Evaluation measures (information retrieval), which is quantitative and which describes general methods by which any search engine results might be evaluated. Category:

  4. Knowledge graph - Wikipedia

    en.wikipedia.org/wiki/Knowledge_graph

    Example conceptual diagram. In knowledge representation and reasoning, a knowledge graph is a knowledge base that uses a graph -structured data model or topology to represent and operate on data. Knowledge graphs are often used to store interlinked descriptions of entities – objects, events, situations or abstract concepts – while also ...

  5. Search engine optimization - Wikipedia

    en.wikipedia.org/wiki/Search_engine_optimization

    v. 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 ...

  6. scikit-learn - Wikipedia

    en.wikipedia.org/wiki/Scikit-learn

    scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

  7. Google Search - Wikipedia

    en.wikipedia.org/wiki/Google_Search

    C++ [2] 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.

  8. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Search algorithm. In computer science, a search algorithm is an algorithm designed to solve a search problem. Search algorithms work to retrieve information stored within particular data structure, or calculated in the search space of a problem domain, with either discrete or continuous values . Although search engines use search algorithms ...

  9. Search engine - Wikipedia

    en.wikipedia.org/wiki/Search_engine

    Some engines suggest queries when the user is typing in the search box. A search engine is a software system that provides hyperlinks to web pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search results are often a list of hyperlinks ...

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