公开(公告)号：US20170357988A1

公开(公告)日：2017-12-14

申请号：US15180582

申请日：2016-06-13

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Trevor Paulsen ,  Craig Mathis ,  Nikolaos Vlassis ,  Branislav Kveton ,  Kristopher Paries ,  Ivan Andrus ,  Hung Bui ,  Michael Rimer

IPC: G06Q30/02 ,  G06F3/0482

CPC classification number: G06Q30/0204 ,  G06F3/0484

Abstract: Systems and methods are disclosed herein for providing a user interface representing differences between segments of end users. The systems and methods receive user input on a user interface identifying a first segment, the first segment being a subset of the end users having a particular characteristic, determine differences between the first segment and a second segment, and represent, on the user interface, the differences between the first segment and the second segment based on relative significances of the differences. The marketer using the user interface is able to quickly and easily identify the metrics, dimensions, and/or relationships to other segments that most distinguish the compared segments from one another.

公开(公告)号：US20170111432A1

公开(公告)日：2017-04-20

申请号：US14886453

申请日：2015-10-19

Applicant: Adobe Systems Incorporated

Inventor： Shiv Kumar Saini ,  Ritwik Sinha ,  Michael Rimer ,  Anandhavelu N

IPC: H04L29/08 ,  G06F11/34 ,  G06Q30/02

CPC classification number: H04L67/025 ,  G06F11/3409 ,  G06Q30/0201 ,  H04L41/142 ,  H04L43/08 ,  H04L67/02 ,  H04L67/22

Abstract: The present disclosure is directed toward systems and methods for identifying contributing factors associated with a multi-variable metric anomaly. One or more embodiments described herein identify one or more contributing factors that led to an anomaly in a multi-variable metric by calculating linearizing weights such that the total deviation in the multi-variable metric can be written as a weighted sum of deviations for dimension elements associated with the multi-variable metric.