If you ask people why do they only use google - they would reply because google has answer to everything I ask. and if you still gaze them with an unsatisfied look they fumble a bit and then snap- because google gives me the most relevant answers- and there you have it. Google is famous not because it knows everything but because it knows what you want to know and then replies accordingly. But the question is how do google do this?
Google’s success is built not on collection of a huge data but a new kind of data. Back in the days before Google there were few search engines like Meta Crawler, Lycos, Alta Vista and they were hardly reliable. Sometimes, if you were lucky, they managed to find what you wanted. Often, they would not. If you typed “Bill Clinton” into the most popular search engines in the late 1990s, the top results included a random site that just proclaimed “Bill Clinton Sucks” or a site that featured a bad Clinton joke. Hardly the most relevant information about the then president of the United States.
In 1998, Google showed up. And its search results were undeniably better than those that of every one of its competitors. If you typed “Bill Clinton” into Google in 1998, you were given his website, the White House email address, and the best biographies of the man that existed on the internet. Google seemed to be magic. What had Google’s founders, Sergey Brin and Larry Page, done differently?
Other search engines located for their users the websites that most frequently included the phrase for which they searched. If you were looking for information on “Apple " those search engines would find, across the entire internet, the websites that had the most references to Apple. There were many reasons this ranking system was imperfect and one of them was that it was easy to fool the system. Any site with the text “apple apple apple apple” hidden somewhere on its page would score higher than the Apple’s official website. What Brin and Page did was find a way to record a new type of information that was far more valuable than a simple count of words.
Websites or blogs while discussing a subject would link to the sites they thought were most helpful in understanding that subject. For example, If I am publishing an article on suppose Mr robot so for better understanding of who Mr robot is I would link to the mr robot wikipedia page. that way people who are not acquainted with Mr. Robot can get brief idea about him. And every blogs or websites creating one of these links was, in a sense, giving its opinion of the best information on Mr robot. Brin and Page aggregated all these opinions on every topic. They crowdsourced the opinions hundreds of bloggers and websites, and everyone else on the internet. If a whole slew of people thought that the most important link for “Mr Robot” was his wikipedia website then this was probably the website that most people searching for “Mr Robot” would want to see. So when you search Mr robot the very first thing is its wikipedia page.
Note: This blog is the text-curated version of the youtube channel "Just a Thought." Everything written here is also published in video format with beautiful animation and music. Check it out!!
In 1998, Google showed up. And its search results were undeniably better than those that of every one of its competitors. If you typed “Bill Clinton” into Google in 1998, you were given his website, the White House email address, and the best biographies of the man that existed on the internet. Google seemed to be magic. What had Google’s founders, Sergey Brin and Larry Page, done differently?
Other search engines located for their users the websites that most frequently included the phrase for which they searched. If you were looking for information on “Apple " those search engines would find, across the entire internet, the websites that had the most references to Apple. There were many reasons this ranking system was imperfect and one of them was that it was easy to fool the system. Any site with the text “apple apple apple apple” hidden somewhere on its page would score higher than the Apple’s official website. What Brin and Page did was find a way to record a new type of information that was far more valuable than a simple count of words.
Recommended Book - Everybody Lies
 |
| Keyword Stuffing |
Websites or blogs while discussing a subject would link to the sites they thought were most helpful in understanding that subject. For example, If I am publishing an article on suppose Mr robot so for better understanding of who Mr robot is I would link to the mr robot wikipedia page. that way people who are not acquainted with Mr. Robot can get brief idea about him. And every blogs or websites creating one of these links was, in a sense, giving its opinion of the best information on Mr robot. Brin and Page aggregated all these opinions on every topic. They crowdsourced the opinions hundreds of bloggers and websites, and everyone else on the internet. If a whole slew of people thought that the most important link for “Mr Robot” was his wikipedia website then this was probably the website that most people searching for “Mr Robot” would want to see. So when you search Mr robot the very first thing is its wikipedia page.
read more - Mr. Robot - The Crisis in Heroism
These kinds of links were data that other search engines didn’t even consider, and it were actually these data that were incredibly predictive of the most useful information on a given topic. The point here is that Google didn’t dominate search merely by collecting more data than everyone else. They did it by finding a better type of data. Fewer than two years after its launch, Google, powered by its link analysis, grew to be the internet’s most popular search engine. Today, Brin and Page are together worth more than $70 billion.Note: This blog is the text-curated version of the youtube channel "Just a Thought." Everything written here is also published in video format with beautiful animation and music. Check it out!!
www.way2tweaks.xyz
ReplyDeleteHello
ReplyDeleteyou and your videos are awsome
ReplyDelete