公开(公告)号：US20210342649A1

公开(公告)日：2021-11-04

申请号：US16866261

申请日：2020-05-04

Applicant: Adobe Inc.

Inventor： Amit Doda ,  Gaurav Sinha ,  Kai Yeung Lau ,  Akangsha Sunil Bedmutha ,  Shiv Kumar Saini ,  Ritwik Sinha ,  Vaidyanathan Venkatraman ,  Niranjan Shivanand Kumbi ,  Omar Rahman ,  Atanu R. Sinha

IPC: G06K9/62 ,  G06F17/18 ,  G06N20/00 ,  G06F3/0481

Abstract: In implementations of systems for predicting a terminal event, a computing device implements a termination system to receive input data defining a period of time and a maximum event threshold. This system uses a classification model to generate event scores for a plurality of entity devices. Each of the event scores indicates a probability of an event occurrence for a corresponding entity device within a period of time. The plurality of entity devices are segmented into a first segment and a second segment based on an event score threshold. Entity devices included in the first segment have event scores greater than the event score threshold and entity devices included in the second segment have event scores below the event score threshold. The termination system generates an indication of a probability that a number of event occurrences for the entity devices included in the second segment exceeds the maximum even threshold within the period of time.

公开(公告)号：US11954309B2

公开(公告)日：2024-04-09

申请号：US16866261

申请日：2020-05-04

Applicant: Adobe Inc.

Inventor： Amit Doda ,  Gaurav Sinha ,  Kai Yeung Lau ,  Akangsha Sunil Bedmutha ,  Shiv Kumar Saini ,  Ritwik Sinha ,  Vaidyanathan Venkatraman ,  Niranjan Shivanand Kumbi ,  Omar Rahman ,  Atanu R. Sinha

IPC: G06F17/18 ,  G06F3/0481 ,  G06F3/04842 ,  G06F11/07 ,  G06F18/21 ,  G06F18/2113 ,  G06F18/241 ,  G06F18/2431 ,  G06N20/00

CPC classification number: G06F3/04842 ,  G06F3/0481 ,  G06F11/079 ,  G06F17/18 ,  G06F18/2113 ,  G06F18/2163 ,  G06F18/241 ,  G06F18/2431 ,  G06N20/00

Abstract: In implementations of systems for predicting a terminal event, a computing device implements a termination system to receive input data defining a period of time and a maximum event threshold. This system uses a classification model to generate event scores for a plurality of entity devices. Each of the event scores indicates a probability of an event occurrence for a corresponding entity device within a period of time. The plurality of entity devices are segmented into a first segment and a second segment based on an event score threshold. Entity devices included in the first segment have event scores greater than the event score threshold and entity devices included in the second segment have event scores below the event score threshold. The termination system generates an indication of a probability that a number of event occurrences for the entity devices included in the second segment exceeds the maximum even threshold within the period of time.