Microsoft http://mschnlnine.vo.llnwd.net/d1/Dev/App_Themes/C9/images/feedimage.png http://channel9.msdn.com/Tags/harry+shum Channel 9 keeps you up to date with the latest news and behind the scenes info from Microsoft that developers love to keep up with. From LINQ to SilverLight – Watch videos and hear about all the cool technologies coming and the people behind them. http://channel9.msdn.com/Tags/harry+shum en Sat, 25 May 2013 01:54:22 GMT Sat, 25 May 2013 01:54:22 GMT Rev9 1 1 25 Bing, Microsoft's latest search engine offering (well, it's more than a search engine - it's a so-called Decision Engine, but what does that mean, precisely?). Harry has a long history in the world of complex algorithm design and implementation. Before joining the Bing team (at Bill Gates' request), Harry was a reseacher in MSR specializing in computer vision, which is an algorithm instensive discipline rife with machine learning principles, statistics and in some sense artificial "intelligence" in terms of autonomous pattern recognition capability. At any rate, Harry is a developer and scientist through and through. We're very fortunate to have him running our search engineering efforts. General purpose search is an incredibly fascinating area with a great deal of potential, challenges and opportunities.

Erik Meijer, programming language designer, knight of the lamda calculus and Expert to Expert host, sits down with Harry to learn, at a high level (though deep in context), how Bing works, what, exactly, a decision engine is, what really happens when you Bing something and various topics related to the computation behind both general purpose search and accurately interpreting user intention. Of course, being an E2E, we take the conversation in many directions and Harry was a real sport. Thank you, Harry!

If you want to know the past, present and a little bit of the future of Bing technology, well, tune in and meet Harry Shum; a computer scientist, software developer and vice president.

Enjoy! ]]> http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Harry-Shum-General-Purpose-Search-Decision-Engines-and-Bing Harry Shum is the VP of Engineering for Bing, Microsoft's latest search engine offering (well, it's more than a search engine - it's a so-called Decision Engine, but what does that mean, precisely?). Harry has a long history in the world of complex algorithm design and implementation. Before joining the Bing team (at Bill Gates' request), Harry was a reseacher in MSR specializing in computer vision, which is an algorithm instensive discipline rife with machine learning principles, statistics and in some sense artificial "intelligence" in terms of autonomous pattern recognition capability. At any rate, Harry is a developer and scientist through and through. We're very fortunate to have him running our search engineering efforts. General purpose search is an incredibly fascinating area with a great deal of potential, challenges and opportunities.Erik Meijer, programming language designer, knight of the lamda calculus and Expert to Expert host, sits down with Harry to learn, at a high level (though deep in context), how Bing works, what, exactly, a decision engine is, what really happens when you Bing something and various topics related to the computation behind both general purpose search and accurately interpreting user intention. Of course, being an E2E, we take the conversation in many directions and Harry was a real sport. Thank you, Harry!If you want to know the past, present and a little bit of the future of Bing technology, well, tune in and meet Harry Shum; a computer scientist, software developer and vice president.Enjoy! 2431 http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Harry-Shum-General-Purpose-Search-Decision-Engines-and-Bing Wed, 01 Jul 2009 03:44:00 GMT http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Harry-Shum-General-Purpose-Search-Decision-Engines-and-Bing Charles Charles 6 http://channel9.msdn.com/Blogs/Charles/Expert-to-Expert-Harry-Shum-General-Purpose-Search-Decision-Engines-and-Bing/RSS Bing Decision Engines Erik Meijer Expert to Expert Harry Shum Machine Learning Microsoft Exeutives Search