Modern search engines rely on complex algorithms to deliver the most relevant results. Here are some of the most widely used techniques in search engine technology.
PageRank
Developed by Google’s founders, PageRank measures the importance of web pages based on the number and quality of links to them. Pages linked by other important pages rank higher in results.
Impact: PageRank was a revolutionary idea that helped Google become the most accurate search engine of its time.
TF-IDF
Term Frequency–Inverse Document Frequency is a statistical method used to determine how important a word is in a document compared to a collection of documents. It helps match search queries with relevant content.
Application: TF-IDF is often used in combination with other algorithms for better content understanding.
AI & Machine Learning
Search engines now use artificial intelligence to interpret user intent, personalize results, and improve ranking through real-time learning. Google's RankBrain is one such system.
Trend: AI continues to evolve, leading to smarter and more conversational search experiences.