We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack...
Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan K...
— There are various scenarios where finding the most similar expression is the requirement rather than just classifying one, for example, facial expression transfer and facial e...
In cross-language information retrieval it is often important to align words that are similar in meaning in two corpora written in different languages. Previous research shows tha...
In this paper, we aim to estimate the similarity between users according to their GPS trajectories. Our approach first models a user’s GPS trajectories with a semantic location ...