Promoting a Culture of Learning with Research

At Yahoo, we encourage a culture of learning, both personally and professionally, internally and externally. Yahoo Research, in particular, often takes observations and shares them with the academic community. At the same time, we look to the academic community for revelations to share amongst Yahoos. It is in this open spirit we present a Big Thinkers talk with Dr. Marti Hearst, a luminary in the fields of Natural Language Processing (NLP) and Search, covering fascinating new insights on learning in Massive Open Online Courses (MOOCs).

2nd Bay Area Crypto Day

Mark your calendars for the 2nd Bay Area Crypto Day, taking place on Monday, May 2 at Stanford University. Join our Sr. Principal Research Scientist Juan Garay and others to discuss the latest developments in Cryptography.

How Users Perceive Native Ads and Why

How do users perceive native ads and why? In her new post, Research Director Mounia Lalmas sheds light on some important insights based on her team's WWW2016 paper, "Predicting Pre-click Quality for Native Advertisements."

Personalizing the News Feed: A Large-Scale Recommendation Problem

Yesterday, Director of Research Suju Rajan discussed how we personalize the Yahoo news feed with Machine Learning at the Structure Data 2016 Conference in San Francisco. Watch her chat with journalist Signe Brewster.

Viewport Time: A Robust, Scalable Method for Measuring User Attention in Online News Reading

What is perhaps the best way to measure user attention for online news reading? In a new post from Director of Research Mounia Lalmas, she argues for viewport time.

Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior

Who spends the most online? When do people shop most online? How do people spend their money online? Our research scientists explored these shopping behavior questions in their paper, "Portrait of an Online Shopper: Understanding and Predicting Consumer Behavior," published this week at WSDM in San Francisco.

Yahoo’s New Research Model

Recently we announced our efforts to make Yahoo a more focused company. This focus will let us accelerate the pace of innovation to make our products even better. We saw these changes as an opportunity to better align our research efforts, while preserving Yahoo’s culture of exploration and inquiry. As a result, we are reorganizing Yahoo Labs and moving forward with a new approach to research at Yahoo.

Stimulating Research Innovation with 100 Million Images

The Yahoo Flickr Creative Commons 100 Million (YFCC100M) dataset and the Multimedia Commons initiative are featured in the February edition of the Communications of the ACM magazine. The dataset and initiative aim to open and share community-contributed dataset features and ground truth annotations.

Yahoo Releases the Largest-ever Machine Learning Dataset for Researchers

We are very proud to announce the public release of the largest-ever machine learning dataset to the research community. The Yahoo News Feed dataset stands at a massive ~110B events (13.5TB uncompressed) of anonymized user-news item interaction data, collected by recording the user-news item interactions of about 20M users from February 2015 to May 2015.

The 32 Days of Christmas: Using Community Patterns to Enhance Temporal Search Queries

Just in time for the holidays, we've researched the best way to improve the search ranking and relevance of temporal photos on the photo-sharing site Flickr.