Increased use of machine learning: Search engines now use machine learning algorithms to better understand user intent and provide more relevant search results.
Mobile-first indexing: With the rise of mobile devices, search engines now prioritize mobile-friendly websites and use mobile-first indexing to determine rankings.
Voice search: With the popularity of voice assistants like Siri and Alexa, search engines now prioritize conversational queries and use natural language processing to provide more accurate results.
Personalized search results: Search engines now personalize results based on a user's search history, location, and other factors.
Rich snippets: Search engines now provide additional information directly in the search results, such as ratings, reviews, and images, to help users find what they're looking for more quickly.
Social media integration: Search engines now consider social media signals when determining rankings, and social media profiles and content often appear in search results.
Local search: With the rise of local businesses, search engines now provide more localized search results and prioritize location-based queries.
HTTPS encryption: Search engines now prioritize websites with secure HTTPS connections and penalize those without it.
Knowledge graph: Search engines now provide a knowledge graph, which is a database of information that provides direct answers to search queries.
Algorithm updates: Search engines have made numerous algorithm updates over the past 20 years to improve search results and combat spam, such as Google's Panda, Penguin, and Hummingbird updates.
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