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Google uses web crawlers to continuously scan and index websites, updating its index hundreds of thousands of gigabytes per day. It considers over 200 factors when ranking pages for relevance to search queries, including links, freshness, and personalization. Major Google algorithms like Panda target low-quality content, Penguin addresses spam, and Hummingbird understands user intent and conversational searches by utilizing its vast knowledge graph.
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- 2. There are billionsof searches each day on Google The instant previews load in 1/10th of a second on average Since 2003 google has answered 450 billions new queries 16% of searches google sees everyday are new Statistics HOW GOOGLE WORKS
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- 5. HOW GOOGLE WORKS 1-Google sends out web crawlers(spiders - Googlebots), that go through all the web pages on the WWW. 2- these bots are made up of millions of computers that surf the Web like human , but all the time Googlebots are working on crawling and re-crawling websites . how oftena site is crawled dependson how quickly content changes (newspapersite differentfromstatic one) Crawling
- 6. 3- the botsalso detects all links on the site , which are then put into a queue system for crawling later on. so finally we get this 4- Then taking the data on them back to The web is like a book with millions of pages, and our job is toindex that book HOW GOOGLE WORKS Crawling
- 7. - - The indexworks like the contents page of a book and contains all the possible search terms .Google index is well over 100,000,000 gigabyte - Google has spent 1 million computing hours building the index indexing HOW GOOGLE WORKS
- 8. When user typesina query in the searchengine , the index will match the query with all the webpagesin which the query terms appear and then return the pagesfor the search results . Ranking HOW GOOGLE WORKS
- 9. At the sametimea short descriptionof the pagesis generated for the search results page . Web pages are ranked on terms of relevance before they are displayedon the result page . Ranking HOW GOOGLE WORKS
- 10. Google consider some200 factors when ranking sitesto decide which of the millions of pages and content are the most relevant answers for the query. • PageRank(thenumber of other websites linking to a particularsite) • freshness && quality of content in a website • URL and title of webpage • synonyms of search keywords • personalization Ranking HOW GOOGLE WORKS
- 11. HOW GOOGLE WORKS GoogleBig picture
- 12. • Content onthe web is blossoming. It's growing not just in size and numbers but with the advent of video, images, news and real-time updates. So we need more fresh and fast data. • Caffeine takes up nearly 100 million gigabytes of storage in one database and adds new information at a rate of hundreds of thousands of gigabytes per day. GOOGLE BIG UPDATES Google Caffeine
- 13. old indexhad several layers ,the main layer would updateevery coupleof weeks. To refresha layer of the old index, we would analyze the entireweb, whichmeant therewas a significant delay betweenwhen we found a page and made it available to you. With Caffeine,Google analyze the web in small portionsand updateour search index on a continuous basis GOOGLE BIG UPDATES Google Caffeine
- 14. • Panda isdesigned to target pages that • The links user build should be quality ones, and they should be relevant to your site. • Quality over quantity is also quickly becoming a new industry standard. GOOGLE BIG UPDATES Google Panda
- 15. pages that havebeen spamming Google. Google Penguin GOOGLE BIG UPDATES
- 16. rolled outSeptember 2013 90% of searches worldwide its name comes from being Precise and fast 2010 engine a better grasp at understanding concepts instead of mere Amit Singhal GOOGLE BIG UPDATES Google hummingbird algorithm
- 17. purpose of hummingbird Assearchers are getting smarter about their searches and expecting better results with their intent and with their phones So hummingbird was a step towards keeping a conversation with searchers, rather than simply supplying results to a query GOOGLE BIG UPDATES Google hummingbird algorithm
- 18. features && purposeof hummingbird • algorithm) • The Knowledge Graph • • conversation) GOOGLE BIG UPDATES Google hummingbird algorithm
- 19. Previousalgorithmmodels werebasedon patternmatches but Hummingbird is based on contextual meaning and user intent. Hummingbird goes beyondmathematical statistics and delivers more intelligentresults that understandwhy you are asking a question based off of all its previousknowledgeof what you have searched (search), what you have liked (social), who you are connected with (social),whereyou are located (location), and what you have seen before (browsinghistory). GOOGLE BIG UPDATES Google hummingbird algorithm
- 20. Hummingbird works bestwith voice(conversational) search used in Chrome or with Google Now GOOGLE BIG UPDATES Google hummingbird algorithm
- 21. Conversation (part 1) GOOGLEBIG UPDATES Google hummingbird algorithm
- 22. Conversation (part 2) GOOGLEBIG UPDATES Google hummingbird algorithm
- 23. Conversation (part 3) GOOGLEBIG UPDATES Google hummingbird algorithm
- 24. GOOGLE BIG UPDATES Googlehummingbird algorithm
- 25. Give users theability of comparison GOOGLE BIG UPDATES Google hummingbird algorithm
- 26. Comparison between oldand new algorithm Before GOOGLE BIG UPDATES Google hummingbird algorithm After
- 27. GOOGLE BIG UPDATES Googlehummingbird algorithm