公开(公告)号：US20200159765A1

公开(公告)日：2020-05-21

申请号：US16264218

申请日：2019-01-31

Applicant: Google LLC

Inventor： Dmitri Yurievich Manin ,  Suddha Kalyan Basu ,  Sushrut Karanjkar

IPC: G06F16/583 ,  G06F16/2457 ,  G06F16/53 ,  G06F16/58 ,  G06N3/02

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for performing image search. In one aspect, a system receives a request for images responsive to a provided search query including one or more search terms. The system obtains content labels for the provided search query which represent entities depicted in images identified by search results previously generated by a search system by processing search queries comprising search terms included in the provided search query. The system uses the content labels for the provided search query to determine a relevance score for each of multiple candidate images. The system determines a ranking of the candidate images based in part on the relevance scores for the candidate images.

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.

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：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.