Google Inc.

The Bank of New York Mellon Corporation

Sahil Goel

Gabriel Taubman

Hen Fitoussi

John DiMartile

Benjamin Schlesinger

Noam Etzion-Rosenberg

Anatoly Efros

Sapir Caduri

Hongshan Guo

Lin Wang

Yu Yu

Nikita Edward Dubrovsky

Morgan Venable

John Dimartile

The methods and systems provide an ensemble approach that combines multiple single-model-solutions to produce optimal forward-looking forecasts. Moreover, the methods and systems provide an architecture for this ensemble approach that ensures that the limitations for individual ensemble model components are compensated by other ensemble model components as inputs and outputs from ensemble model components are fed from one ensemble model component to another in a specific order to generate a final output upon which a conservative prediction is based.

Methods and systems for generating predictions based on time series data using an ensemble modeling

Methods, systems, and apparatus for filtering content at the operating system level. In one aspect, a method includes accessing, at a user device, data that includes content items that are to be presented by an application executing on the user device; prior to the content being presented by the application: for each content item, determining, at the user device and by a filtering model, whether the content item is to be presented by the application or filtered, for each content item that is determined to be presented by the application, allowing the application to present the content item, and for each content item that is determined to be filtered, precluding, by the filtering model by a system level filtering operation performed at an operating system level and separate from an application level at which the application is executing, presentation of the content item by the application.

System for filtering displayed content at the OS level

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New York, NY, United States of America

Sahil Goel