公开(公告)号：US20170193382A1

公开(公告)日：2017-07-06

申请号：US14986811

申请日：2016-01-04

Applicant: Adobe Systems Incorporated

Inventor： Natalee Villa ,  Scott Pead ,  James Nyland ,  Craig Mathis

IPC: G06N7/00 ,  G06F17/30

CPC classification number: G06N7/005 ,  G06F16/2228 ,  G06F16/2477

Abstract: Systems and methods disclosed herein compactly store representations of segment-specific interaction data from a real time data stream of data interactions by multiple entities to facilitate segment-specific analytics for particular time periods. Segment rules defining characteristics of entities within a segment are received. A first probabilistic data structure is created representing unique entity IDs included in instances of interaction data in the real time data stream during a first time period. A second probabilistic data structure representing unique entity IDs included in instances of interaction data in the real time data stream during a second time period different from the first time period. The first probabilistic data structure represents only entity IDs of entities within the segment and the second probabilistic data structure represents only entity IDs of entities within the segment. The first and second probabilistic data structures are indexed and stored.

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：US20170228790A1

公开(公告)日：2017-08-10

申请号：US15040653

申请日：2016-02-10

Applicant: Adobe Systems Incorporated

Inventor： Kevin G. Smith ,  J. Scott Wellwood ,  Brandon Hartness ,  Craig Mathis

IPC: G06Q30/02

CPC classification number: G06Q30/0269

Abstract: This disclosure relates to providing content (e.g., marketing content) to an individual based on a psychographic profile of an individual. The method includes obtaining a psychographic profile of an individual. The psychographic profile comprises one or more psychographic dimensions associated with the first individual and a psychographic profile group. A psychographic dimension corresponds to at least one of an interest, an attitude, an opinion, a value, a behavior, or an activity of the individual. Content (e.g., marketing content) is received, the content being associated with a psychographic profile group corresponding to the psychographic profile of the individual. The content is provided to the individual based on the associated psychographic profile group of the content and the associated psychographic profile group of the individual.

公开(公告)号：US20160036931A1

公开(公告)日：2016-02-04

申请号：US14451148

申请日：2014-08-04

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Craig Mathis ,  James Harold Brown ,  Joshua Aaron Hansen ,  Deepak Pai

IPC: H04L29/08

Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed to an analytics tool for detecting real-time user or “visitor” events based on real-time data. More specifically, events are detected based on actions not taken by a user. In this regard, events can be defined and, thereafter, detected based on inactions of a user. In some cases, events are inferred or predicted based on a calculated likelihood of a user not performing an action. Upon determining an event based on an action not being performed by a user, an interested party may be notified thereof such that the interested party can influence, in real-time, visitor conversion.

Abstract translation: 本发明的实施例提供了针对用于基于实时数据检测实时用户或“访问者”事件的分析工具的系统，方法和计算机存储介质。 更具体地，基于用户未采取的动作来检测事件。 在这方面，可以定义事件，并且此后基于用户的不作为来检测事件。 在某些情况下，根据用户不执行操作的计算可能性来推断或预测事件。 在基于不由用户执行的动作来确定事件时，可以通知感兴趣方，使得感兴趣的方可以实时地影响访问者转换。