Microsoft Corporation
INTERACTIVE SUGGESTIONS FOR DIRECTED CONTENT COPY USING A DEEP LEARNING MODEL

Abstract:

The present disclosure relates to systems and methods to generate, in real-time, copy suggestions for a directed content for interactive design operations of copy. A generative deep learning model encodes content of the website into an embedded form with context of the content. The model decodes the encoded form of the content based on the user input to generate copy suggestions. Used in conjunction with an interactive copy design client, the present disclosure interactively receives user input to iteratively modify the copy suggestions in real-time while validating a quality of the copy suggestions. The real-time, interactive design of copy for the directed content improves timing, accuracy, and productivity of the design operations.