公开(公告)号：US20180174070A1

公开(公告)日：2018-06-21

申请号：US15381637

申请日：2016-12-16

Applicant: Adobe Systems Incorporated

Inventor： MATTHEW HOFFMAN ,  LONGQI YANG ,  HAILIN JIN ,  CHEN FANG

IPC: G06N99/00 ,  G06N7/00

CPC classification number: G06N20/00 ,  G06N7/005 ,  G06Q30/0255 ,  G06Q30/0277 ,  G06T11/00 ,  H04L67/22 ,  H04W12/06

Abstract: This disclosure involves personalizing user experiences with electronic content based on application usage data. For example, a user representation model that facilitates content recommendations is iteratively trained with action histories from a content manipulation application. Each iteration involves selecting, from an action history for a particular user, an action sequence including a target action. An initial output is computed in each iteration by applying a probability function to the selected action sequence and a user representation vector for the particular user. The user representation vector is adjusted to maximize an output that is generated by applying the probability function to the action sequence and the user representation vector. This iterative training process generates a user representation model, which includes a set of adjusted user representation vectors, that facilitates content recommendations corresponding to users' usage pattern in the content manipulation application.

公开(公告)号：US20170244796A1

公开(公告)日：2017-08-24

申请号：US15047339

申请日：2016-02-18

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： ZHICHENG LIU ,  ALAN WILSON ,  MATTHEW HOFFMAN ,  LUBOMIRA DONTCHEVA

IPC: H04L29/08 ,  G06F3/0481 ,  G06F3/0484

CPC classification number: H04L67/22 ,  G06F3/0481 ,  G06F3/0484 ,  H04L67/02

Abstract: Systems and methods are disclosed for analyzing a plurality of clickstreams associated with a resource to identify popular navigational patterns traversed by users of the resource. The analysis provides a navigational framework for performing continued analysis on segmented portions of the identified navigational patterns. To facilitate the analysis, clickstreams associated with the resource are analyzed to identify sets of clickstreams that have a common group of assets with which users of the resource interacted. Navigational patterns, which include commonly traversed series of assets interacted with by the users, are determined for the identified sets. The navigational pattern is then provided to identify popular navigational patterns traversed by users of the resource.