Search and information retrieval
Video
VERSE: Bridging Screen Readers and Voice Assistants for Enhanced Eyes-Free Web Search
Video figure for ASSETS 2019 VERSE article.
Project
DiskANN: Vector Search at Web Scale
We design algorithms to address the challenges of scaling ANNS for web and enterprise search and recommendation systems. Our goal is to build systems that serve trillions of points in a streaming setting cost effectively.
Microsoft Research Blog
The personal web: Connecting information for better search and recommendation
In the digital era, almost everyone struggles with the mountains of information they have. Every activity in our lives seemingly generates more information: emails, files, receipts, photos—the list goes on. We have trails of digital…
Event
Microsoft at WSDM 2020
Microsoft is a proud Silver sponsor of WSDM 2020, one of the premier conferences on web-inspired research involving search and data mining. Stop by our booth to chat with our experts, see demos of our…
Publication
Toward Activity Discovery in the Personal Web
Video
Learning to Rank for IR with Neural Nets (AFIRM 2020)
Learning to rank (LTR) for information retrieval (IR) involves the application of machine learning (ML) models to rank artifacts, such as documents or entities, in response to user’s information need—as may be expressed by a…
Event
Swiss Joint Research Center Workshop 2020
The 7th annual workshop of the Swiss Joint Research Center, a collaborative engagement between Microsoft Research and ETH Zurich and EPFL, took place January 29-30, 2020 at EPFL in Lausanne. Each of the twelve project teams…
Publication