Personalized Search
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Personalized Search
Personalized search is a web search tailored specifically to an individual's interests by incorporating information about the individual beyond the specific query provided. There are two general approaches to Personalization, personalizing search results, involving modifying the user's query and re-ranking search results. History Google introduced personalized search in 2004 and it was implemented in 2005 to Google Search, Google search. Google has personalized search implemented for all users, not only those with a Google Account, Google account. There is not much information on how exactly Google personalizes their searches; however, it is believed that they use user language, location, and web history. Early search engines, like Google and AltaVista, found results based only on key words. Personalized search, as pioneered by Google, has become far more complex with the goal to "understand exactly what you mean and give you exactly what you want." Using mathematical algorithms ...
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Web Search
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 enters a query in a web browser or a mobile app, and the search results are typically presented as a list of hyperlinks accompanied by textual summaries and images. Users also have the option of limiting a search to specific types of results, such as images, videos, or news. For a search provider, its engine is part of a distributed computing system that can encompass many data centers throughout the world. The speed and accuracy of an engine's response to a query are based on a complex system of indexing that is continuously updated by automated web crawlers. This can include data mining the files and databases stored on web servers, although some content is not accessible to crawlers. There have been many search engines since the dawn of the Web in the 1990s, however, Google Search became the dominant one in the 2000 ...
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