公开(公告)号：US11016997B1

公开(公告)日：2021-05-25

申请号：US16721124

申请日：2019-12-19

Applicant: Adobe Inc.

Inventor： Xiaolei Huang ,  Franck Dernoncourt ,  Walter Chang

IPC: G06F16/28 ,  G06F16/2457 ,  G06F16/248

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating query results based on domain-specific dynamic word embeddings. For example, the disclosed systems can generate dynamic vector representations of words that include domain-specific embedded information. In addition, the disclosed systems can compare the dynamic vector representations with vector representations of query terms received as part of a search query. The disclosed systems can further identify one or more digital content items to provide as part of a query result that include words corresponding to the query terms based on the comparison of the vector representations. In some embodiments, the disclosed systems can also train a word embedding model to generate accurate vector representations of unique words.