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公开(公告)号:US20230334338A1
公开(公告)日:2023-10-19
申请号:US16024310
申请日:2018-06-29
Applicant: Meta Platforms, Inc.
Inventor: Seungwhan Moon , Xiao Wu
Abstract: A system for user behavior prediction generates a first series of behavior event elements describing a first set of behaviors of one or more users, upon processing user interactions with an online system. In a first flow, the system generates a first series of time-distributed embeddings of the behavior event elements, and in a second flow parallel with the first flow, the system generates a proposed future embedding of a proposed future behavior of a user at a future time point subsequent to the first set of time points. Using a predictive model (e.g., a recursive neural network), the system transforms components of the first and second flows into an output describing plausibility of occurrence of the proposed future behavior of the user.