Verizon Media Inc.

Yahoo! Inc.

Yahoo Ad Tech LLC

Miriam Redi

Gerry Pesavento

Simon Kayode Osindero

Anastasia Alexeevna Svetlichnaya

Mounia Lalmas

Frank Liu

Lucca Maria Aiello

Puneet Mohan Sangal

Huw Evans

Ke Zhou

Marc Bron

Mahlon Chute

Fabrizio Silvestri

Briefly, example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate and/or support one or more operations and/or techniques for machine learning (ML) classification of digital content for mobile communication devices, such as implemented in connection with one or more computing and/or communication networks and/or protocols.

Machine learning classification of digital content for mobile devices

A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.

Filtering machine for sponsored content

Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.

Computerized method and system for automated determination of high quality digital content

Growing community of inventors

Barcelona, Spain

Miriam Redi