公开(公告)号：US10997264B2

公开(公告)日：2021-05-04

申请号：US16107769

申请日：2018-08-21

Applicant: Adobe Inc.

Inventor： Charles Menguy ,  Sudhakar Pandey ,  Roshan Singh ,  Ravi Prakash Singh ,  David Meier Weinstein ,  Ankush Sharma

IPC: G06F17/20 ,  G06F16/957 ,  H04L29/08 ,  G06F16/31 ,  G06F16/9535 ,  G06F16/955

Abstract: Systems and techniques for delivery of contextual interest from interaction information are described that process user interactions with digital content to generate user interest scores for various topics. A contextual user interest system uses user interaction data to identify and contextualize content, and assigns propensity scores to the contextualized content. By dynamically contextualizing pages of content, the contextual user interest system may adapt to changes in the content and provide more accurate and robust information over time, which is not possible using conventional techniques. The contextualized pages of content are used to assign user interest scores across a number of topics to users who have visited the pages of content, and the user interest scores are normalized in a manner that allows a user's degree of interest in a topic to be compared to that of another user.

公开(公告)号：US20200065425A1

公开(公告)日：2020-02-27

申请号：US16107769

申请日：2018-08-21

Applicant: Adobe Inc.

Inventor： Charles Menguy ,  Sudhakar Pandey ,  Roshan Singh ,  Ravi Prakash Singh ,  David Meier Weinstein ,  Ankush Sharma

IPC: G06F17/30 ,  H04L29/08

Abstract: Systems and techniques for delivery of contextual interest from interaction information are described that process user interactions with digital content to generate user interest scores for various topics. A contextual user interest system uses user interaction data to identify and contextualize content, and assigns propensity scores to the contextualized content. By dynamically contextualizing pages of content, the contextual user interest system may adapt to changes in the content and provide more accurate and robust information over time, which is not possible using conventional techniques. The contextualized pages of content are used to assign user interest scores across a number of topics to users who have visited the pages of content, and the user interest scores are normalized in a manner that allows a user's degree of interest in a topic to be compared to that of another user.