公开(公告)号：US10318971B2

公开(公告)日：2019-06-11

申请号：US14280393

申请日：2014-05-16

Applicant: Adobe Inc.

Inventor： Sayaji Hande ,  Ramesh Srinivasaraghavan ,  Vineet Gupta ,  Sandeep Zechariah George Kollannur

IPC: G06Q30/00 ,  G06Q30/02 ,  G06Q50/00

Abstract: This document describes techniques for normalizing user responses by removing behavioral bias. In one or more implementations, a response normalization model is built from user responses to one or more events. The response normalization model clusters users into behavioral classification groups based on the user responses. The response normalization model can then be used to normalize user responses by removing behavioral bias from user responses.

公开(公告)号：US11095597B2

公开(公告)日：2021-08-17

申请号：US14031256

申请日：2013-09-19

Applicant: Adobe Inc.

Inventor： Sayaji Hande ,  Vineet Gupta ,  Sandeep Zechariah George Kollannur

IPC: G06N5/04 ,  H04L12/58 ,  G06Q50/00

Abstract: This document describes techniques for predicting spread of content across social networks. In various embodiments, user interactions with content posted to a social network are accessed during a first stage. The accessed user interactions are applied to a prediction model to predict future user interactions with the content during one or more subsequent stages.