公开(公告)号：US11886828B1

公开(公告)日：2024-01-30

申请号：US18236760

申请日：2023-08-22

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: 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.

公开(公告)号：US11900068B1

公开(公告)日：2024-02-13

申请号：US18232112

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: 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.

公开(公告)号：US12158907B1

公开(公告)日：2024-12-03

申请号：US18318585

申请日：2023-05-16

Applicant: Google LLC

Inventor： Jamie Leach ,  Danielle Fisher ,  Jason Blythe ,  Mahsan Rofouei ,  Sundeep Tirumalareddy ,  Zhaoyang Xu ,  Eric Lehman

IPC: G06F16/35 ,  G06F16/951 ,  G06F16/953

Abstract: 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.

公开(公告)号：US20250005303A1

公开(公告)日：2025-01-02

申请号：US18829990

申请日：2024-09-10

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

Abstract: 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.

公开(公告)号：US20240386046A1

公开(公告)日：2024-11-21

申请号：US18318585

申请日：2023-05-16

Applicant: Google LLC

Inventor： Jamie Leach ,  Danielle Fisher ,  Jason Blythe ,  Mahsan Rofouei ,  Sundeep Tirumalareddy ,  Zhaoyang Xu ,  Eric Lehman

IPC: G06F16/35 ,  G06F16/951 ,  G06F16/953

Abstract: 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.

公开(公告)号：US12118325B2

公开(公告)日：2024-10-15

申请号：US18232144

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: 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.

公开(公告)号：US20240220735A1

公开(公告)日：2024-07-04

申请号：US18232144

申请日：2023-08-09

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: 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.

公开(公告)号：US20240289407A1

公开(公告)日：2024-08-29

申请号：US18589371

申请日：2024-02-27

Applicant: GOOGLE LLC

Inventor： Mahsan Rofouei ,  Anand Shukla ,  Qing Wei ,  Chi Tang ,  Ryan Brown ,  Enrique Piqueras

IPC: G06F16/957 ,  G06F16/9532 ,  G06F16/9535 ,  G06F40/40

CPC classification number: G06F16/9577 ,  G06F16/9532 ,  G06F16/9535 ,  G06F40/40

Abstract: Implementations are described herein for augmenting a traditional search session with stateful chat—via what will be referred to as a “generative companion”—to facilitate more interactive searching. In various implementations, a query may be received, e.g., from a client device operated by a user. Contextual information associated with the user or the client device may be retrieved. Generative model (GM) output may be generated based on processing, using a generative model, data indicative of the query and the contextual information. Synthetic queries may be generated using the GM output, and search result documents (SRDs) may be selected. State data indicative of: the query, contextual information, one or more of the synthetic queries, and the set of search result documents, may be processed to identify a classification of the query. Based on the classification downstream GM(s) may be selected and used to generate one or more additional GM outputs.

公开(公告)号：US11769017B1

公开(公告)日：2023-09-26

申请号：US18123861

申请日：2023-03-20

Applicant: GOOGLE LLC

Inventor： Matthew K. Gray ,  John Blitzer ,  Corinn Herrick ,  Srinivasan Venkatachary ,  Jayant Madhavan ,  Sam Oates ,  Phiroze Parakh ,  Aditya Shah ,  Mahsan Rofouei ,  Ibrahim Badr

IPC: G06F40/40 ,  G06F16/332

CPC classification number: G06F40/40 ,  G06F16/3328

Abstract: 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.