Oath Inc.

Verizon Media Inc.

Puneet Mohan Sangal

Mounia Lalmas

Jian Yang

Suleyman Cetintas

Nicola Barbieri

Fabrizio Silvestri

Gabriele Tolomei

Miriam Redi

Pengyuan Wang

Michele Trevisiol

Ke Zhou

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

An online advertising system receives an advertisement from an advertiser. The system analyzes the advertisement, extracts its features and provides to the advertiser a quality rating for the advertisement which depends on a user engagement factor such as the predicted dwell time for the ad, given its features. The system further provides to the advertiser suggestions for improvements to the advertisement, such as a list of actionable guidelines that can improve the expected dwell time of the ad, and likely its conversion rate.

Generating actionable suggestions for improving user engagement with online advertisements

Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

System and method for traffic quality based pricing via deep neural language models

Growing community of inventors

Sunnyvale, CA, United States of America

Puneet Mohan Sangal