公开(公告)号：US11481448B2

公开(公告)日：2022-10-25

申请号：US16836546

申请日：2020-03-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Peide Zhong ,  Feishe Chen ,  Weizhi Meng ,  Wei Kang ,  Feng Guo ,  Fei Chen ,  Jaewon Yang ,  Qi He

IPC: G06F16/903 ,  G06F16/35 ,  G06F16/95 ,  G06K9/62 ,  G06N20/00 ,  G06F40/30

Abstract: During operation, the system obtains a first embedding produced by an embedding model from an input string representing an entity and a hierarchy of clusters of embeddings generated by the embedding model from a set of standardized entities. Next, the system searches the hierarchy of clusters for a subset of the embeddings that are within a threshold proximity to the first embedding in a vector space. The system then calculates embedding match scores between the input string and a first subset of the standardized entities represented by the subset of the embeddings based on distances between the subset of the embeddings and the first embedding in the vector space. Finally, the system modifies, based on the embedding match scores, content outputted in response to the input string within a user interface of an online system.

公开(公告)号：US20210303638A1

公开(公告)日：2021-09-30

申请号：US16836546

申请日：2020-03-31

Applicant: Microsoft Technology Licensing, LLC

Inventor： Peide Zhong ,  Feishe Chen ,  Weizhi Meng ,  Wei Kang ,  Feng Guo ,  Fei Chen ,  Jaewon Yang ,  Qi He

IPC: G06F16/903 ,  G06K9/62 ,  G06F40/30 ,  G06N20/00

Abstract: The disclosed embodiments provide a system for processing user-generated input. During operation, the system obtains a first embedding produced by an embedding model from an input string representing an entity and a hierarchy of clusters of embeddings generated by the embedding model from a set of standardized entities. Next, the system searches the hierarchy of clusters for a subset of the embeddings that are within a threshold proximity to the first embedding in a vector space. The system then calculates embedding match scores between the input string and a first subset of the standardized entities represented by the subset of the embeddings based on distances between the subset of the embeddings and the first embedding in the vector space. Finally, the system modifies, based on the embedding match scores, content outputted in response to the input string within a user interface of an online system.