Jagadeesh Gorla
1 SlideShare 17 Followers 7 Followings
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Founder and CEO at Jaggu.com
Industry
Technology / Software / Internet
Website
http://www.cs.ucl.ac.uk/staff/J.Gorla/
About
Highlights: 1. Created Machine Learning powered B2B SaaS product. Bootstrapped, built and lead high calibre team of researchers and engineers. Currently, I continue to build the business, lead the team and deliver the services to some of the major (publicly trading) online platforms with $billions in revenue. 2. Designed, developed and deployed matching (recommender) systems used by 200+ million users across four different verticals (eCommerce, Media, Gaming, Venture Capital and Human Capital). 3. Previously, worked as an early researcher and engineer at three internet tech startups. Holds a PhD in CS (Search Relevance and Machine Learning) and a former Microsoft Research Cambridg...
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Presentations

(1)

Probabilistic Group Recommendation via Information Matching

10 years ago • 3180 Views
Personal Information
Organization / Workplace
London, United Kingdom United Kingdom
Occupation
Founder and CEO at Jaggu.com
Industry
Technology / Software / Internet
Website
http://www.cs.ucl.ac.uk/staff/J.Gorla/
About
Highlights: 1. Created Machine Learning powered B2B SaaS product. Bootstrapped, built and lead high calibre team of researchers and engineers. Currently, I continue to build the business, lead the team and deliver the services to some of the major (publicly trading) online platforms with $billions in revenue. 2. Designed, developed and deployed matching (recommender) systems used by 200+ million users across four different verticals (eCommerce, Media, Gaming, Venture Capital and Human Capital). 3. Previously, worked as an early researcher and engineer at three internet tech startups. Holds a PhD in CS (Search Relevance and Machine Learning) and a former Microsoft Research Cambridg...
Tags
group recommendation relevance ranking information
See more