公开(公告)号：US20220414468A1

公开(公告)日：2022-12-29

申请号：US17823390

申请日：2022-08-30

Applicant: Adobe Inc.

Inventor： Fan DU ,  Sungchul KIM ,  Shunan GUO ,  Sana LEE ,  Eunyee KOH

IPC: G06N3/08 ,  G06N7/00 ,  G06N20/10 ,  G06N5/02 ,  G06N3/04

Abstract: Disclosed systems and methods predict and visualize outcomes based on past events. For example, an analysis application encodes a sequence of events into a feature vector that includes, for each event, a numerical representation of a respective category and a respective timestamp. The application applies a time-aware recurrent neural network to the feature vector, resulting in one or more of (i) a set of future events in which each event is associated with a probability and a predicted duration and (ii) a sequence embedding that contains information about predicted outcomes and temporal patterns observed in the sequence of events. The application applies a support vector model classifier to the sequence embedding. The support vector model classifier computes a likelihood of a categorical outcome for each of the events in the probability distribution. The application modifies interactive content according to the categorical outcomes and probability distribution.