Oracle Corporation
CONTENT TARGETING USING CONTENT CONTEXT AND USER PROPENSITY

Abstract:

Disclosed herein are techniques for machine-learning systems and methods for generating content objects using AI models. A method described herein includes predicting a propensity metric using a machine-learning propensity model describing a propensity of a user to interact with a tag. The method includes generating, using a content-tagging machine-learning model, a set of features characterizing the content object. The method includes determining, for each user in a set of users, a score that predicts a propensity of the user interacting with a particular content object. The method includes selecting a subset of users of the set of users based on the scores determined for the set of users. The method also includes facilitating output of the particular content object to each of the subset of users.