US 12,079,292 B1
Proactive query and content suggestion with generative model generated question and answer
Ibrahim Badr, New York, NY (US); Yunsong Guo, Santa Clara, CA (US); and Imran R. Mansuri, Sunnyvale, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Oct. 13, 2023, as Appl. No. 18/486,696.
Claims priority of provisional application 63/584,015, filed on Sep. 20, 2023.
Int. Cl. G06F 16/9535 (2019.01); G06F 40/20 (2020.01)
CPC G06F 16/9535 (2019.01) [G06F 40/20 (2020.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for proactive query and content suggestion, the method comprising:
obtaining, by a computing system comprising one or more processors, web data, wherein the web data is descriptive of one or more topics;
processing, by the computing system, the web data to determine a change event occurred, wherein the change event comprises an update associated with the one or more topics;
processing, by the computing system, data descriptive of the change event with a generative model to generate one or more query suggestions;
obtaining, by the computing system, one or more web resources associated with the change event;
processing, by the computing system, the one or more web resources with the generative model to generate a change event summary;
providing, by the computing system, the one or more query suggestions and the change event summary for display;
receiving, by the computing system, a selection of at least one of the one or more query suggestions or the change event summary; and
providing, by the computing system, a model-generated content item for display, wherein the model-generated content item is generated by the generative model, wherein the model-generated content item comprises information associated with the change event, and wherein the information comprises details obtained from one or more databases formatted into a natural language article by the generative model.