Challenges in Building Intelligent Search Systems
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Intelligent search, powered by natural language processing (NLP) algorithms, helps individuals and enterprise customers find useful information they need at an unprecedented scale. Compared to the traditional web search engines, there are a lot of new challenges in this rising popular domain. In this talk, I will talk about my experience working at the public web search engine Microsoft Bing and the latest work we have done at Microsoft Research & Incubation on building intelligent search systems over enterprise documents.
Jiguang Shen received his Ph.D. in Applied Mathematics from University of Minnesota in 2017, under the supervision of Professor Bernardo Cockburn. He is currently a Senior Applied Science Manager at Microsoft working on building search and ranking systems.