How does Google's search algorithm work?

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Google's search algorithm functions as a sophisticated and adaptable system aimed at delivering users the most pertinent and high-quality search results based on their queries. The process commences when a user inputs a search term into Google's search bar. The algorithm employs a comprehensive approach, starting with crawling, where Google's bots systematically explore the internet, indexing web pages and gathering information about them.

This indexing involves analysing content, keywords, and other relevant data to construct a thorough database. When a user searches, the algorithm efficiently sifts through this extensive index to pinpoint pages that data-align with the search intent. Page ranking is another critical component, with google utilizing various algorithms and ranking factors to evaluate a webpage's relevance and authority. 

Factors like content quality, keyword relevance, backlinks, and user experience contribute to determining a page's rank. The goal is to present the most reliable and valuable information prominently in the search results. Personalized factors, including the user's search history, location, and device, are also considered by Google's search algorithm to tailor results to individual preferences. 

Machine learning plays a significant role, enabling the algorithm to continuously enhance its understanding of user intent and content relevance. Google's unwavering commitment to offering users the best results leads to regular updates and refinements to the algorithm. This iterative process ensures the search engine adapts to the evolving internet landscape, consistently providing accurate and meaningful information to users globally.

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