Search and information retrieval
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
Combinatorial Bandits with Relative Feedback
Publication
Duet at TREC 2019 Deep Learning Track
Video
Conversations Based on Search Engine Result Pages
How might we convey the information that is traditionally returned by a search engine in the form of a complex search engine result page (SERP) in a meaningful and natural conversation? In the talk, Maarten…
