Google Inc.

Imran R Mansuri

Ibrahim Badr

Yunsong Guo

Wenqiong Guo

InHan Kang

Sari Onaissi

Anner Kushnir

Systems and methods for proactive query and content suggestion can include obtaining web data, determining a change event occurred, and generating a query and content suggestion. Generating the query and content suggestion can include processing data descriptive of the change event with a generative model to generate one or more model-generated query suggestions. One or more web resources can be obtained then processed to generate a change event summary. The one or more query suggestions and the change event summary can then be provided for display.

Proactive query and content suggestion with generative model generated question and answer

A computing system and method that can be used to surface a selectable action element for at least one ongoing task. In particular, the present disclosure provides a general pipeline to identify potential tasks that a user has an ongoing interest in or has not yet completed so that a suggestion of a content item can be made to further advance an identified user's task. This pipeline can incorporate probabilistic transition graphs, machine-learned models, and/or historical data to determine the relevance and completion of tasks that a user may desire to continue acting upon.

Generating action elements suggesting content for ongoing tasks

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Sunnyvale, CA, United States of America

Imran R Mansuri