AUTOMATIC TAXONOMY MAPPING USING SEQUENCE SEMANTIC EMBEDDING

摘要

In accordance with an example embodiment, an automated taxonomy mapping system that uses sequence semantic embedding techniques is described. Sequence sematic embedding models are used to generate the sequence vectors. The sequence semantic embedding models are trained offline and can be shared across different systems having different taxonomies and various versions of a category taxonomy.