Google Inc.

Sylvanus Garnet Bent, Iii

Wei Luo

Mehmet Levent Koc

Xiaolan Zhou

Shu Niu

Maxwell Ryan Hagler

Nam Hoang Mai

Timothy Edward Jaeger

Suzanna Whiteside Shwert

Jamie Nicole Powell

Maxwell Schram

Tristan Dennen

Weikun Liang

Sean Burroughs Johnston

Prahlad Fogla

Siva Kumar Gorantla

Caren Zeng

Example embodiments of the present disclosure provide for an example method. The example method includes generating an initial user interface including a content assistant component. The example method include obtaining user input data. The example method includes processing, by a machine learned model interfacing with the content assistant component, the data indicative of the input received from the user. The method includes obtaining output data, from the machine learned model interfacing with the content assistant component, indicative of one or more content item components. The method includes transmitting data which causes the content item components to be provided for display via an updated user interface. The method includes obtaining data indicative of user selection of approval of the content item components. The method includes generating, in response to obtaining the data indicative of the user selection of the approval of the content item components, content items.

Conversational interface for content creation and editing using large language models

Example embodiments of the present disclosure provide for an example method including obtaining data indicative of user input via a user interface associated with a construction workflow for generating customized content items. The example method includes determining one or more key terms associated with the user input. The example method includes determining one or more suggested content items based on the one or more key terms. The example method includes generating a predicted performance increase associated with each respective content item of the one or more suggested content items. The example method includes providing, to a first user device, data indicative of a structured input interface associated with the construction workflow configured with one or more input fields and the one or more suggested content items, wherein the structured input interface is configured for rendering via a graphical user interface.

Intelligent asset suggestions based on both previous phrase and whole asset performance

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

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Palo Alto, CA, United States of America

Sylvanus Garnet Bent, Iii