|Born||7 January 1970|
|Alma mater||Indian Institute of Technology, Madras
Georgia Institute of Technology
|Occupation||Research scientist at Google|
Krishna Bharat (born 7 January 1970) is an Indian research scientist at Google Inc, and leads a team developing Google's news product. Among other projects, he opened the Research and Development center at Bangalore, India. He is the creator of Google News, a service that automatically indexes over 25,000 news websites in more than 25 languages to provide a summary of the News resources.
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 Bangalore, now an IT hub in South India. He completed his schooling from St. Joseph's Boys' High School in Bangalore, and received an undergraduate degree in computer science from the prestigious 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.
- Boyd, E.B. (30 June 2010). "SO WHAT DO YOU DO, KRISHNA BHARAT, LEAD ENGINEER OF GOOGLE NEWS?". Mediabistro. Retrieved 1 November 2014.
- "Krishna Bharat to head Google's Bangalore centre". Rediff. May 6, 2004. Retrieved 2009-04-04.
- "Krishna Bharat". Google. Retrieved 2009-04-04.
- Glaser, Mark (2010-02-04). "Google News to Publishers: Let's Make Love Not War". PBS. Retrieved 2010-04-02.
- "Google Friends Newsletter - Q&A with Krishna Bharat". Google. July 2003. Retrieved 2009-04-04.
- "Burning Man at Google". June 3, 2011.
- "Google wants to be part of journalism's future". rediff. Retrieved 2009-04-04.
- When experts agree: using non-affiliated experts to rank popular topics
- US Patent 7346604 Method for ranking hypertext search results by analysis of hyperlinks from expert documents and keyword scope
- US Patent 6725259 Ranking search results by reranking the results based on local inter-connectivity
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