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公开(公告)号：US20220261683A1
公开(公告)日：2022-08-18
申请号：US17174944
申请日：2021-02-12
Applicant: ADOBE INC.
Inventor： Tong Mu , Georgios Theocharous , David Arbour
Abstract: Systems and methods for sequential recommendation are described. Embodiments receive a user interaction history including interactions of a user with a plurality of items, select a constraint from a plurality of candidate constraints based on lifetime values observed for the candidate constraints, wherein the lifetime values are based on items predicted for other users using a recommendation network subject to the candidate constraints, and predict a next item for the user based on the user interaction history using the recommendation network subject to the selected constraint.
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