Microsoft Technology Licensing, LLC

Weizhi Meng

Qi He

Jaewon Yang

Fei Chen

Feng Guo

Peide Zhong

Feishe Chen

Wei Kang

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.

Semantic matching and retrieval of standardized entities

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Sunnyvale, CA, United States of America

Weizhi Meng