公开(公告)号：US20240037138A1

公开(公告)日：2024-02-01

申请号：US18484186

申请日：2023-10-10

申请人： Pinterest, Inc.

发明人： Nadia Fawaz ,  Anh Tuong Ta ,  Bhawna Juneja ,  Rohan Mahadev ,  Valerie Moy ,  Dmitry Olegovich Kislyuk ,  David Ding-Jia Xue ,  Christopher Lee Schaefbauer ,  Graham Roth ,  William Yau ,  Jordan DiSanto ,  Ding Zhang ,  David Voiss

IPC分类号： G06F16/532 ,  G06F16/538

CPC分类号： G06F16/532 ,  G06F16/538

摘要： Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

公开(公告)号：US11816144B2

公开(公告)日：2023-11-14

申请号：US17710451

申请日：2022-03-31

申请人： Pinterest, Inc.

发明人： Nadia Fawaz ,  Anh Tuong Ta ,  Bhawna Juneja ,  Rohan Mahadev ,  Valerie Moy ,  Dmitry Olegovich Kislyuk ,  David Ding-Jia Xue ,  Christopher Lee Schaefbauer ,  Graham Roth ,  William Yau ,  Jordan DiSanto ,  Ding Zhang ,  David Voiss

IPC分类号： G06F16/53 ,  G06F16/532 ,  G06F16/538

CPC分类号： G06F16/532 ,  G06F16/538

摘要： Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.

公开(公告)号：US20230315780A1

公开(公告)日：2023-10-05

申请号：US17710451

申请日：2022-03-31

申请人： Pinterest, Inc.

发明人： Nadia Fawaz ,  Anh Tuong Ta ,  Bhawna Juneja ,  Rohan Mahadev ,  Valerie Moy ,  Dmitry Olegovich Kislyuk ,  David Ding-Jia Xue ,  Christopher Lee Schaefbauer ,  Graham Roth ,  William Yau ,  Jordan DiSanto ,  Ding Zhang ,  David Voiss

IPC分类号： G06F16/532 ,  G06F16/538

CPC分类号： G06F16/532 ,  G06F16/538

摘要： Described are systems and methods to determine hair patterns presented in content items. The determined hair patterns may be associated with the content items to facilitate indexing, filtering, etc. of the content items based on the determined hair patterns. In exemplary implementations, a corpus of content items may be associated with an embedding vector that includes a binary representation of the content item. The embedding vectors associated with each content item can be provided as inputs to a trained machine learning model, which can process the embedding vectors to determine one or more hair patterns presented in each content item while eliminating the need for performing image pre-processing prior to determination of the hair pattern(s) presented in the content item.