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“Bing – A Search Engine with Machine Learning at its Core”

Oktober 26, 2015 @ 5:30 pm

“Bing – A Search Engine with Machine Learning at its Core”
The Bing search engine has been built by thousands of researchers and software engineers over the last 10 years. Today it is not only the only viable contender for a global search portal, Bing has also taught Microsoft how to develop service oriented architectures that run on 100,000s of machines, influencing products like Cortana and services on Azure that are available to every software engineer and data scientist. From day one, Bing has been using large scale machine learning to predict which documents should be shown for a search query, how to identify spam documents, how to spell-correct queries, how to use synonymous queries, how to classify queries and so forth. This talk from the core ranking team focuses about how we built the ranking function in Bing, touching upon technologies such as machine translation and deep learning applied to the “learning to rank” problem.

Clemens Marschner is a principal software engineer in the European office of Microsoft Bing’s core ranking team in Munich. He’s been working as a developer and applied researcher for the past 6 years, working with his project teams on web ranking problems and, since recently, on spoken language processing. Previously he worked as a software engineer for FAST Search & Transfer, a search engine company based in Oslo, Norway, which was acquired by Microsoft in 2008. He received a Dr. phil. degree in computational linguistics from the University of Munich (LMU) in 2010.


Oktober 26, 2015
5:30 pm

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