Announcing the open source of our Extendible and Generic Anomaly Detection System, or EGADS, to detect anomalous activities automatically.
Our Scalable Search Systems group scales and improves the performance of of local KV-stores on modern multi-core hardware.
We're pleased to announce the release of a benchmark dataset for time series anomaly detection as part of our Webscope data-sharing program.
Professor Andrew McCallum discusses how to construct probabilistic databases for large-scale knowledge bases and the merits of doing so.
The Yahoo Labs Personalization Sciences team explains how Yahoo Aviate suggests apps for users based on a host of factors.
New research presented at the WSDM 2015 conference explains the science of advertising effectiveness at Yahoo and the benefit for clients.
Dr. Steven Skiena uses computational social science to rank historical figures in his presentation of a "Quantitative Analysis of Historical Fame."
Yahoo and Carnegie Mellon University's joint $10 million, five-year Project InMind announces new 2015 research projects and Yahoo Fellows.
Yahoo Labs researchers explain how science powers the personalized content recommendations and native advertising experience in Yahoo Recommends.
Yahoo Labs researchers explain how various computer science disciplines are used to surface the Flickr photos used in the Yahoo Weather app.