公开(公告)号：US20220284327A1

公开(公告)日：2022-09-08

申请号：US17725429

申请日：2022-04-20

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Shaoliang ZHANG ,  Rui Wang ,  Ruobing Xie ,  Zhihong Yang ,  Feng Xia ,  Leyu Lin

IPC: G06N5/04 ,  G06F16/9535 ,  G06N5/02

Abstract: This application discloses a resource pushing method performed by a computer device. The method includes: obtaining a target recommendation model and a preference feature and a candidate resource set corresponding to a target object, the preference feature including at least a channel preference feature and a content preference feature; obtaining at least one target resource from the candidate resource set based on the target recommendation model and the preference feature; and pushing the at least one target resource to the target object. Such a resource pushing process integrates preferences of the target object in different dimensions, so that the target resource pushed to the target object not only conforms to channel preferences of the target object, but also conforms to content references of the target object, which is beneficial to improving the resource pushing effect, and further increasing the click-through rates (CTRs) of the pushed resources.

公开(公告)号：US20220171760A1

公开(公告)日：2022-06-02

申请号：US17674682

申请日：2022-02-17

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Zhijie Qiu ,  Ruobing Xie ,  Yi Liu ,  Jun Rao ,  Bo Zhang

IPC: G06F16/23

Abstract: The present disclosure provides a data processing method performed by an electronic device. The method includes: obtaining first and second service behavior features, and a service scenario feature of an object from service history data associated with the object; generating first and second service embedding vectors and a scenario representation vector according to the first and second service behavior features and the service scenario feature; obtaining first and second weights of the first and second service embedding vectors according to the scenario representation vector and the first and second service embedding vectors; generating first and second service feature vectors according to the first and second service embedding vectors and the first and second weights of the first and second service embedding vectors, respectively; and obtaining an object embedding vector according to the first service feature vector and the second service feature vector.

公开(公告)号：US20230017667A1

公开(公告)日：2023-01-19

申请号：US17948082

申请日：2022-09-19

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Xiaobo Hao ,  Kaikai Ge ,  Yudan Liu ,  Linyao Tang ,  Xu Zhang ,  Ruobing Xie ,  Leyu Lin

IPC: H04L67/50 ,  G06F16/9535

Abstract: Embodiments of this application disclose a data recommendation method performed by a computer device. The data recommendation method includes: obtaining a service object set associated with a target user in a plurality of fields in response to a data recommendation request for the target user in a target field, performing cross-field cross-encoding on the plurality of fields and the service object set to obtain a target field interest feature of the target user in the target field; obtaining to-be-recommended service object features of a plurality of to-be-recommended service objects in the target field; and obtaining a target to-be-recommended service object feature matching with the target field interest feature of the target user from the to-be-recommended service object features, and returning a target to-be-recommended service object corresponding to the target to-be-recommended service object feature to the target user.

公开(公告)号：US11893071B2

公开(公告)日：2024-02-06

申请号：US17726048

申请日：2022-04-21

Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED

Inventor： Cheng Ling ,  Yalong Wang ,  Rui Wang ,  Ruobing Xie ,  Feng Xia ,  Leyu Lin

IPC: G06F16/00 ,  G06F16/9536 ,  G06F16/9535 ,  H04L67/50 ,  G06N3/045

CPC classification number: G06F16/9536 ,  G06F16/9535 ,  G06N3/045 ,  H04L67/535

Abstract: This application provides a content recommendation method and apparatus, an electronic device, and a storage medium. The content recommendation method includes obtaining content feedback information of a target object and content feature information of content that is to be recommended in response to a content recommendation request of the target object, the content feedback information comprising explicit feedback information and implicit feedback information and object portrait information of the target object; performing feature interaction according to the explicit feedback information and the implicit feedback information in the content feedback information, and obtaining behavior preference information; performing feature extraction based on the behavior preference information, the content feedback information, and the content feature information, and obtaining a predicted click-through rate (CTR); and determining, according to the predicted CTR, recommended content from the pieces of content that is to be recommended, and transmitting the recommended content to a terminal device.

公开(公告)号：US12204522B2

公开(公告)日：2025-01-21

申请号：US17674682

申请日：2022-02-17

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Zhijie Qiu ,  Ruobing Xie ,  Yi Liu ,  Jun Rao ,  Bo Zhang

IPC: G06F16/23

Abstract: The present disclosure provides a data processing method performed by an electronic device. The method includes: obtaining first and second service behavior features, and a service scenario feature of an object from service history data associated with the object; generating first and second service embedding vectors and a scenario representation vector according to the first and second service behavior features and the service scenario feature; obtaining first and second weights of the first and second service embedding vectors according to the scenario representation vector and the first and second service embedding vectors; generating first and second service feature vectors according to the first and second service embedding vectors and the first and second weights of the first and second service embedding vectors, respectively; and obtaining an object embedding vector according to the first service feature vector and the second service feature vector.

公开(公告)号：US12132795B2

公开(公告)日：2024-10-29

申请号：US17948082

申请日：2022-09-19

Applicant: Tencent Technology (Shenzhen) Company Limited

Inventor： Xiaobo Hao ,  Kaikai Ge ,  Yudan Liu ,  Linyao Tang ,  Xu Zhang ,  Ruobing Xie ,  Leyu Lin

IPC: G06F16/9535 ,  H04L67/50

CPC classification number: H04L67/535 ,  G06F16/9535

Abstract: Embodiments of this application disclose a data recommendation method performed by a computer device. The data recommendation method includes: obtaining a service object set associated with a target user in a plurality of fields in response to a data recommendation request for the target user in a target field, performing cross-field cross-encoding on the plurality of fields and the service object set to obtain a target field interest feature of the target user in the target field; obtaining to-be-recommended service object features of a plurality of to-be-recommended service objects in the target field; and obtaining a target to-be-recommended service object feature matching with the target field interest feature of the target user from the to-be-recommended service object features, and returning a target to-be-recommended service object corresponding to the target to-be-recommended service object feature to the target user.