際際滷shows by User: JagadeeshGorla / http://www.slideshare.net/images/logo.gif 際際滷shows by User: JagadeeshGorla / Sat, 18 May 2013 06:24:14 GMT 際際滷Share feed for 際際滷shows by User: JagadeeshGorla Probabilistic Group Recommendation via Information Matching /slideshow/www-gorlagroup-recsys/21393663 www-gorla-grouprecsys-130518062414-phpapp01
We present a probabilistic group recommendation model. And, also, a framework (alternative to Matrix Factorisation and Neighbourhood methods) that can be used to build personalised search, recommendation, people match, ad relevance matching models without reducing the dimensionality or computing explicit similarity.]]>
We present a probabilistic group recommendation model. And, also, a framework (alternative to Matrix Factorisation and Neighbourhood methods) that can be used to build personalised search, recommendation, people match, ad relevance matching models without reducing the dimensionality or computing explicit similarity.]]> Sat, 18 May 2013 06:24:14 GMT /slideshow/www-gorlagroup-recsys/21393663 JagadeeshGorla@slideshare.net(JagadeeshGorla) Probabilistic Group Recommendation via Information Matching JagadeeshGorla We present a probabilistic group recommendation model. And, also, a framework (alternative to Matrix Factorisation and Neighbourhood methods) that can be used to build personalised search, recommendation, people match, ad relevance matching models without reducing the dimensionality or computing explicit similarity. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/www-gorla-grouprecsys-130518062414-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> We present a probabilistic group recommendation model. And, also, a framework (alternative to Matrix Factorisation and Neighbourhood methods) that can be used to build personalised search, recommendation, people match, ad relevance matching models without reducing the dimensionality or computing explicit similarity.
Probabilistic Group Recommendation via Information Matching from Jagadeesh Gorla
]]> 3183 8 https://cdn.slidesharecdn.com/ss_thumbnails/www-gorla-grouprecsys-130518062414-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-JagadeeshGorla-48x48.jpg?cb=1648661792 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... http://www.cs.ucl.ac.uk/staff/J.Gorla/