|Title:||Bing Dialog Model: Intent, Knowledge and User Interaction|
|Group/Series/Folder:||Record Group 8.15 - Institute for Advanced Study|
Series 3 - Audio-visual Materials
|Location:||8.15:3 box 1.7|
|Notes:||IAS Distinguished Lecture.|
Abstract: The decade-old Internet search outcomes, manifested in the form of 'ten blue links', are no longer sufficient for Internet users. Many studies have shown that when users are ushered off the conventional search result pages through blue links, their needs are often partially met at best in a 'hit-or-miss' fashion. To tackle this challenge, Prof Harry Shum and his team have designed Bing, Microsoft's decision engine, to not just navigate users to a landing page through a blue link but to continue engaging with users to clarify intent and facilitate task completion. Underlying this new paradigm is the Bing Dialog Model that consists of three building blocks: an indexing system that comprehensively collects information from the web and systematically harvests knowledge, an intent model that statistically infers user intent and predicts next action, and an interaction model that elicits user intent through mathematically optimized presentations of web information and domain knowledge that matches user needs. In this talk, Prof Shum describes Bing Dialog Model in details and demonstrate it in action through some innovative features since the launch of www.Bing.com.
Prof Shum is currently Corporate Vice President at Microsoft. He received his PhD in robotics from Carnegie Mellon University. A Fellow of IEEE and the Association for Computing Machinery (ACM), Prof Shum has published more than 100 papers in computer vision, computer graphics, pattern recognition, statistical learning, and robotics, and holds more than 50 US patents. He is also an Adjunct Professor of Computer Science and Engineering at HKUST.
Duration: 94 min.
|Appears in Series:||8.15:3 - Audio-visual Materials|
Videos for Public -- Distinguished Lectures