公开(公告)号：US20230388596A1

公开(公告)日：2023-11-30

申请号：US18325959

申请日：2023-05-30

Applicant: NETFLIX, INC.

Inventor： Moumita BHATTACHARYA ,  Sudarshan Dnyaneshwar LAMKHEDE ,  Christoph KOFLER ,  Kelley Jean ROBINSON ,  Yi ZHANG

IPC: H04N21/466 ,  H04N21/25 ,  H04N21/482

CPC classification number: H04N21/4668 ,  H04N21/251 ,  H04N21/4826

Abstract: In various embodiments, an in-session recommendation application generates recommendations for users during streaming sessions. The in-session recommendation application generates a set of feature values for a set of features associated with a trained machine learning model based on user interactions that have occurred via a graphical user interface (GUI) during a current streaming session. The in-session recommendation application executes the trained machine learning model on at least the set of feature values and a first feature value associated with a first item to generate a first score. The in-session recommendation application generates a recommendation based on the first score and at least a second score that is associated with both a second item and the user interactions. The in-session recommendation application displays the recommendation within the GUI.