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2. 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.

3. 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 ...

4. Ranking (information retrieval) - Wikipedia

   en.wikipedia.org/wiki/Ranking_(information...

   Ranking of query is one of the fundamental problems in information retrieval (IR), the scientific/engineering discipline behind search engines. Given a query q and a collection D of documents that match the query, the problem is to rank, that is, sort, the documents in D according to some criterion so that the "best" results appear early in the result list displayed to the user.

5. 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 ...

6. Search engine (computing) - Wikipedia

   en.wikipedia.org/wiki/Search_engine_(computing)

   Search engine (computing) In computing, a search engine is an information retrieval software system designed to help find information stored on one or more computer systems. Search engines discover, crawl, transform, and store information for retrieval and presentation in response to user queries. The search results are usually presented in a ...

7. Learning to rank - Wikipedia

   en.wikipedia.org/wiki/Learning_to_rank

   Learning to rank [1] or machine-learned ranking ( MLR) is the application of machine learning, typically supervised, semi-supervised or reinforcement learning, in the construction of ranking models for information retrieval systems. [2] Training data may, for example, consist of lists of items with some partial order specified between items in ...