公开(公告)号：US20230334530A1

公开(公告)日：2023-10-19

申请号：US18213914

申请日：2023-06-26

Applicant: Yahoo Assets LLC

Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

IPC: G06Q30/02 ,  G06F16/903

CPC classification number: G06Q30/0275 ,  G06N3/082 ,  G06N7/01 ,  G06F16/90344

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

公开(公告)号：US20240354811A1

公开(公告)日：2024-10-24

申请号：US18761132

申请日：2024-07-01

Applicant: Yahoo Assets LLC

Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

IPC: G06Q30/0273 ,  G06F16/903 ,  G06N3/082 ,  G06N7/01

CPC classification number: G06Q30/0275 ,  G06N3/082 ,  G06N7/01 ,  G06F16/90344

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

公开(公告)号：US12026754B2

公开(公告)日：2024-07-02

申请号：US18213914

申请日：2023-06-26

Applicant: Yahoo Assets LLC

Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

IPC: G06Q30/0273 ,  G06N3/082 ,  G06N7/01 ,  G06F16/903

CPC classification number: G06Q30/0275 ,  G06N3/082 ,  G06N7/01 ,  G06F16/90344

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

公开(公告)号：US11687978B2

公开(公告)日：2023-06-27

申请号：US17750461

申请日：2022-05-23

Applicant: Yahoo Assets LLC

Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

IPC: G06Q30/0273 ,  G06N3/082 ,  G06N7/01 ,  G06F16/903

CPC classification number: G06Q30/0275 ,  G06N3/082 ,  G06N7/01 ,  G06F16/90344

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

公开(公告)号：US20220277354A1

公开(公告)日：2022-09-01

申请号：US17750461

申请日：2022-05-23

Applicant: c/o Yahoo Assets LLC

Inventor： Junwei Pan ,  Tian Zhou ,  Aaron Eliasib Flores

IPC: G06Q30/02 ,  G06N7/00 ,  G06N3/08

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.