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：US20240394319A1

公开(公告)日：2024-11-28

申请号：US18798316

申请日：2024-08-08

Applicant: Google LLC

Inventor： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

IPC: G06F16/9538 ,  G06F16/538 ,  G06F16/583 ,  G06F16/587 ,  G06N3/02

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.

公开(公告)号：US20230409653A1

公开(公告)日：2023-12-21

申请号：US18461049

申请日：2023-09-05

Applicant: Google LLC

Inventor： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

IPC: G06F16/9538 ,  G06F16/583 ,  G06F16/538 ,  G06F16/587 ,  G06N3/02

CPC classification number: G06F16/9538 ,  G06F16/583 ,  G06F16/538 ,  G06F16/587 ,  G06N3/02

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.

公开(公告)号：US11782998B2

公开(公告)日：2023-10-10

申请号：US17277820

申请日：2020-02-28

Applicant: Google LLC

Inventor： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

IPC: G06F16/50 ,  G06N3/02 ,  G06F16/9538 ,  G06F16/583 ,  G06F16/538 ,  G06F16/587 ,  G06F16/90 ,  G06N3/04 ,  G06N3/08

CPC classification number: G06F16/9538 ,  G06F16/538 ,  G06F16/583 ,  G06F16/587 ,  G06N3/02

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.

公开(公告)号：US10204138B1

公开(公告)日：2019-02-12

申请号：US14936814

申请日：2015-11-10

Applicant: Google LLC

Inventor： Trystan G. Upstill ,  Henele I. Adams ,  Eric Lehman ,  Neesha Subramaniam ,  Wensi Xi ,  Sundeep Tirumalareddy

IPC: G06F17/00 ,  G06F17/30

Abstract: Methods, systems, and apparatus, including computer program products, for identifying navigational resources for queries. In an aspect, a candidate query in a query sequence is selected, and a revised query subsequent to the candidate query in the query sequence is selected. If a quality score for the revised query is greater than a quality score threshold and a navigation score for the revised query is greater than a navigation score threshold, then a navigational resource for the revised query is identified and associated with the candidate query. The association specifies the navigational resource as being relevant to the candidate query in a search operation.

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：US12086198B2

公开(公告)日：2024-09-10

申请号：US18461049

申请日：2023-09-05

Applicant: Google LLC

Inventor： Suddha Kalyan Basu ,  Wei Fan ,  Daniel Glasner ,  Sushrut Suresh Karanjkar ,  Thomas Richard Strohmann ,  Shubhang Verma ,  Manas Ashok Pathak ,  Wenyuan Yin ,  Sundeep Tirumalareddy

IPC: G06F16/50 ,  G06F16/538 ,  G06F16/583 ,  G06F16/587 ,  G06F16/9538 ,  G06N3/02 ,  G06F16/90

CPC classification number: G06F16/9538 ,  G06F16/538 ,  G06F16/583 ,  G06F16/587 ,  G06N3/02

Abstract: Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for retrieving image search results using embedding neural network models. In one aspect, an image search query is received. A respective pair numeric embedding for each of a plurality of image-landing page pairs is determined. Each pair numeric embedding is a numeric representation in an embedding space. An image search query embedding neural network processes features of the image search query and generates a query numeric embedding. The query numeric embedding is a numeric representation of the image search query in the same embedding space. A subset of the image-landing page pairs having pair numeric embeddings that are closest to the query numeric embedding of the image search query in the embedding space are identified as first candidate image search results.