Google Inc.

Shu Niu

Ankur Gupta

Krzysztof Duleba

Amin Charaniya

Aileen Tang

Prabhu Balasubramanian

Smita Hashim

James Dowdell

Jamie Samdal

Graham Jenkin

Nam Hoang Mai

Jessica Mignone

Audrey Yang

Doris Bruneder

Luuk Van Dijk

Vinod Ramachandran Marur

Sylvanus Garnet Bent, Iii

Beverly Yang Wong

Maxwell Schram

Weikun Liang

Prahlad Fogla

Jamie Nicole Powell

Tristan Dennen

Sean Burroughs Johnston

Karen Yao

Siva Kumar Gorantla

Suzanna Whiteside Shwert

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for providing a customized content item. A method includes: receiving a content request; identifying one or more user device attributes and/or a context of the request; identifying a content item having distribution parameters matching the context and/or user device attributes and including one or more variables that are resolved based on the context or the one or more user device attributes; selecting, as modifying data, a subset of feed data to which the one or more variables for the content item will be resolved, including: identifying the feed data, evaluating the feed data to locate the subset; and selecting the modifying data; and modifying the content item, at least in part, by including, in place of the one or more variables, the selected modifying data; and providing the modified content item in response to the request.

Dynamic content item creation

Systems and methods are disclosed for dynamically analyzing and providing the quality of one or more content items at the time, or substantially close to the time, they are received by a data processing system. The systems and methods described herein can maintain and update the quality score for improving previously created content items after they have been published. The one or more content items can include one or more assets (e.g., one or more headlines, one or more descriptions, images, video, etc.). The data processing system can use numerical analysis methods to determine an overall quality (e.g., estimated clicks) of the content items received by the data processing system using a trained model.

Systems and methods for assessing advertisement

Configurations for geographical targeting for managing content of campaigns are disclosed. In one example, the subject technology provides a user interface including controls for enabling selection of targeting criteria by a content sponsor. The user interface includes a campaign tool for receiving input on campaign details to be executed by a content delivery system. The campaign tool includes a search control for receiving search strings and responsive thereto providing search completions that represent one or more geographic areas and reach information for each geographic area. The campaign tool also includes a control for adding a geographic area to a campaign, excluding the geographic area from the campaign, or presenting a map of the geographic area.

Geographical targeting for content management of campaigns

Configurations for targeting nearby geographic locations for managing content are disclosed. The subject technology identifies one or more geographic locations for targeting content from a campaign for delivery to users and the campaign associated with a content sponsor. One or more geographic locations that are nearby the one or more geographic locations associated with the campaign are automatically presented to the content sponsor, including presenting candidate nearby geographic locations and estimated reach information along with each candidate geographic location. The subject technology receives a selection of one or more candidate geographic locations for inclusion in the campaign, and adds the selection to the campaign.

Targeting nearby geographic locations associated with a campaign

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Palo Alto, CA, United States of America

Shu Niu