公开(公告)号：US11966440B2

公开(公告)日：2024-04-23

申请号：US17500455

申请日：2021-10-13

Applicant: eBay Inc.

Inventor： Dingxian Wang ,  Hongxu Chen ,  Guandong Xu ,  Li He

IPC: G06F16/70 ,  G06F16/74 ,  G06F16/78 ,  G06F16/783 ,  G06Q50/00

CPC classification number: G06F16/7867 ,  G06F16/743 ,  G06F16/7834 ,  G06F16/7844 ,  G06Q50/01

Abstract: A method for automatic metadata tag identification for videos is described. Content features are extracted from a video into respective data structures. The extracted content features are from at least two different feature modalities. The respective data structures are encoded into a common data structure using an encoder of a recurrent neural network (RNN) model. The common data structure is decoded using a decoder of the RNN model to identify content platform metadata tags to be associated with the video on a social content platform. Decoding is based on group tag data for users of the social content platform that identifies groups of the users and corresponding group metadata tags of interest for the groups of users.

公开(公告)号：US20240220537A1

公开(公告)日：2024-07-04

申请号：US18607949

申请日：2024-03-18

Applicant: eBay Inc.

Inventor： Dingxian Wang ,  Hongxu Chen ,  Guandong Xu ,  Li He

IPC: G06F16/78 ,  G06F16/74 ,  G06F16/783 ,  G06Q50/00

CPC classification number: G06F16/7867 ,  G06F16/743 ,  G06F16/7834 ,  G06F16/7844 ,  G06Q50/01

Abstract: A method for automatic metadata tag identification for videos is described. Content features are extracted from a video into respective data structures. The extracted content features are from at least two different feature modalities. The respective data structures are encoded into a common data structure using an encoder of a recurrent neural network (RNN) model. The common data structure is decoded using a decoder of the RNN model to identify content platform metadata tags to be associated with the video on a social content platform. Decoding is based on group tag data for users of the social content platform that identifies groups of the users and corresponding group metadata tags of interest for the groups of users.