Search and information retrieval
Video
A Cross-modal Audio Search Engine based on Joint Audio-Text Embeddings
Ad-hoc audio clips, such as those from smart speakers, social media apps, security cameras and podcasts, are being recorded and shared online on a daily basis. For a variety of applications, it is important to…
Video
You Can Lead a Horse to Water: Spatial Learning and Path Dependence in Consumer Search
We introduce a model of search by imperfectly informed consumers with unit demand. Consumers learn spatially: sampling the payoff to one product causes them to update their payoffs about all products that are nearby in…
Microsoft Research Blog
In between the lines: Broadening access to web search by understanding the needs of people with dyslexia
People with dyslexia perceive the world in different ways when it comes to the arrangement of letters and words on paper – or, these days, on web pages. Indeed, so much of modern life and…
Microsoft Research Blog
Adversarial and reinforcement learning-based approaches to information retrieval
Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future…
Event
Microsoft @ SIGIR 2018
SIGIR is a major international forum for presentation of the latest state-of-the-art research and demonstration of new systems and methods for connecting people with information: from Web search engines, recommender systems, and social network technology…
