Bing Dialog Model: Intent, Knowledge and User Interaction
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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, we 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, I’ll describe Bing Dialog Model in details and demonstrate it in action through some innovative features since the launch of www.Bing.com
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