Adobe Inc.
METHOD AND SYSTEM FOR RECOMMENDING DIGITAL CONTENT
Last updated:
Abstract:
A method for recommending digital content includes: determining user preferences and a time horizon of a given user; determining a group for the given user based on the determined user preferences; determining a number of users of the determined group and a similarity of the users; applying information including the number of users, the similarity, and the time horizon to a model selection classifier to select one of a personalized model of the user and a group model of the determined group; and running the selected model to determine digital content to recommend.
Status:
Application
Type:
Utility
Filling date:
21 Nov 2019
Issue date:
27 May 2021