Google Inc.

Mahsan Rofouei

Ibrahim Badr

Srinivasan Venkatachary

Jayant Madhavan

Matthew K Gray

John Blitzer

Corinn Herrick

Sam Oates

Aditya Shah

Phiroze Parakh

Sundeep Tirumalareddy

Jason W Blythe

Eric Lehman

Zhaoyang Xu

Jamie Leach

Danielle Fisher

According to an aspect, a method includes, in response to a search query for web content, obtaining, by a search engine, search results relevant to the search query, where the search results include a set of responsive documents, and generating a plurality of themes from content included in the set of responsive documents, where each of the plurality of themes includes a respective phrase that describes a respective theme. The method includes providing thematic data to a browser application on a client device, where the thematic data includes the plurality of themes and thematic search results, which may be a portion of the search results arranged by the plurality of themes. The thematic data is configured to cause the browser application to display the plurality of themes in a search results page.

Thematic search

At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content—or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

Generative summaries for search results

At least selectively utilizing a large language model (LLM) in generating a natural language (NL) based summary to be rendered in response to a query. In some implementations, in generating the NL based summary additional content is processed using the LLM. The additional content is in addition to query content of the query itself and, in generating the NL based summary, can be processed using the LLM and along with the query content&#x2014;or even independent of the query content. Processing the additional content can, for example, mitigate occurrences of the NL based summary including inaccuracies and/or can mitigate occurrences of the NL based summary being over-specified and/or under-specified.

Growing community of inventors

Menlo Park, CA, United States of America

Mahsan Rofouei