Yahoo Assets LLC

Yahoo! Inc.

Oath Inc.

Verizon Media Inc.

Ingmar Weber

Yoelle Smadja Maarek

Yehuda Arie Koren

Flavio Junqueira

Aristides Gionis

Marco Serafini

Embodiments are directed towards automatically learning user behavioral patterns when interacting with messages and based on the learned patterns, suggesting one or more predicted actions that a user might take in response to receiving subsequent message. One or more classifiers are trained and employed to predict one or more actions that a user might take in response to receiving the message. In one embodiment, the one or more predicted actions are provided suggested to the user as an action the user might take on the message. Messages may be rank ordered within a given suggested action based on a confidence level of the prediction.

Mining email inboxes for suggesting actions

Disclosed herein are a system, method and architecture for optimizing a manner in which queries and updates are issued to data stores servicing an application such as a social networking application. A social graph modeling a social network may be used to generate a data store request schedule that optimizes, e.g., minimizes, data store accesses, such as without limitation queries and updates to the data store.

Social networking feed delivery system and method

Growing community of inventors

Barcelona, Spain

Ingmar Weber