公开(公告)号：US20220343189A1

公开(公告)日：2022-10-27

申请号：US17237892

申请日：2021-04-22

Applicant: Adobe Inc.

Inventor： Niyati Himanshu Chhaya ,  Niranjan Kumbi ,  Balaji Vasan Srinivasan ,  Akangsha Bedmutha ,  Ajay Awatramani ,  Sreekanth Reddy

IPC: G06N5/04 ,  G06N20/00

Abstract: Certain embodiments involve using machine-learning methods to generate a recommendation for sequential content items. A method involves accessing a content item associated with an interaction stage in an online environment. A stage graph, which includes a ratio of interactions, of the content item is generated. An additional content item that includes additional stage-transition content is identified. A sequencing function outcome indicating a portion of the ratio of interactions is determined. A transition probability of receiving an interaction with stage-transition content and an additional interaction with the additional stage-transition content is calculated. A content provider system is caused to provide a recipient device with interactive content that includes the additional content item.