公开(公告)号：US12033048B1

公开(公告)日：2024-07-09

申请号：US17107820

申请日：2020-11-30

Applicant: Amazon Technologies, Inc.

Inventor： Laurent Callot ,  Jasmeet Chhabra ,  Lifan Chen ,  Ming Chen ,  Tim Januschowski ,  Andrey Kan ,  Luyang Kong ,  Baris Kurt ,  Pramuditha Perera ,  Mostafa Rahmani ,  Parminder Bhatia

IPC: H04L29/06 ,  G06F18/214 ,  G06N20/20

CPC classification number: G06N20/20 ,  G06F18/214

Abstract: Techniques for performing anomaly detection are described. An exemplary method includes receiving a request to detect potential anomalies using an anomaly detection system having at least one anomaly scoring model; processing the received data using the anomaly detection system to score the data to determine when the data is potentially anomalous based on one or more thresholds; requesting feedback of at least one determined potential anomaly; receiving feedback on the least one determined potential anomaly; and adjusting at least one of one or more of thresholds used to determine potential anomalies and what is considered an anomaly without adjusting the at least one anomaly scoring model.

公开(公告)号：US10891676B1

公开(公告)日：2021-01-12

申请号：US16031885

申请日：2018-07-10

Applicant: Amazon Technologies, Inc.

Inventor： Andrey Kan ,  Christos Faloutsos ,  Xin Luna Dong

IPC: G06Q30/00 ,  G06Q30/06

Abstract: An improved user interface in which related items are grouped intuitively, and ultimately results in the number of navigational steps performed by the user to identify desired related items being reduced, is described herein. For example, instead of having a user interface display a single view that includes all related items, a recommendation system groups the related items based on their respective attribute values and produces data that results in a user interface that displays the related items in these groups. The recommendation system generates labels for these groups such that a user can clearly identify what types of related items are included therein. Thus, a user would not have to browse through a single list of related items ordered in an unfamiliar manner. Rather, a user can browse through smaller subsets of related items, and only in those groups that correspond with attribute values of interest to the user.