Krishna Bharat (born 7 January 1970) is a founding adviser for Grokstyle Inc, a Visual search company & Laserlike Inc, an interest search engine . He was a research scientist when he was at Google, Mountain View, where he led a team developing Google's news product. Among other projects, he opened the Research and Development center at Bengaluru, India. He is the creator of Google News, a service that automatically indexes over 25,000 news websites in more than 35 languages to provide a summary of the News resources. He is on the Board of Visitors of Columbia Journalism School and John S. Knight Journalism Fellowships at Stanford.
Krishna Bharat created Google News in the aftermath of the September 11, 2001 attacks to keep himself abreast of the developments. Since then, it has been a popular offering from Google's services. Google News was one of Google's first endeavors beyond offering just plain text searches on its page.
Bharat grew up in Bengaluru, now an IT hub in South India. He completed his schooling from St. Joseph's Boys' High School in Bengaluru, and received an undergraduate degree in computer science from the Indian Institute of Technology, Madras. He subsequently received a Ph.D from Georgia Tech in Human Computer Interaction. Before joining Google in 1999, he worked at the DEC Systems Research Center where, with George Mihaila, he developed the Hilltop algorithm. At Google he developed so-called LocalRank, which can be considered to be an adaptation of Hilltop.
In 2015, Krishna received the Distinguished alumnus award from his alma mater IIT Madras.
|Born||7 January 1970|
|Alma mater||Indian Institute of Technology, Madras|
Georgia Institute of Technology
|Occupation||Research scientist at Google|
The AI Challenge was an international artificial intelligence programming contest started by the University of Waterloo Computer Science Club.
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When you enter a query or keyword into the Google search engine, the Hilltop algorithm helps to find relevant keywords whose results are more informative about the query or keyword.
The algorithm operates on a special index of expert documents. These are pages that are about a specific topic and have links to many non-affiliated pages on that topic. Pages are defined as non-affiliated if they are authored by people from non-affiliated organizations. Results are ranked based on the match between the query and relevant descriptive text for hyperlinks on expert pages pointing to a given result page. Websites which have backlinks from many of the best expert pages are authorities and are ranked well.
Basically, it looks at the relationship between the "expert" and "authority" pages: an "expert" is a page that links to lots of other relevant documents; an "authority" is a page that has links pointing to it from the "expert" pages. Here they mean pages about a specific topic with links to many non-affiliated pages on that topic. If a website has backlinks from many of the best expert pages it will be an "authority".
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