Alibaba Group Holding Limited
METHOD AND SYSTEM FOR UPDATING EMBEDDING TABLES FOR MACHINE LEARNING MODELS

Abstract:

The present disclosure relates to a method for updating a machine learning model. The method includes selecting a first column to be removed from a first embedding table to obtain a first reduced number of columns for the first embedding table; obtaining a first accuracy result determined by applying a plurality of vectors into the machine learning model, the plurality of vectors including a first vector having a number of numeric values that are converted using the first embedding table with the first reduced number of columns; and determining whether to remove the first column from the first embedding table in in accordance with an evaluation of the first accuracy result against a first predetermined criterion.