公开(公告)号：US10210429B2

公开(公告)日：2019-02-19

申请号：US15497866

申请日：2017-04-26

Applicant: Facebook, Inc.

Inventor： Chaochao Cai ,  Goran Predovic ,  Wei Wei ,  Chang Liu ,  Liang Xu

IPC: G06K9/62 ,  G06N99/00 ,  G06N5/04 ,  G06K9/00 ,  G06K9/66 ,  G06K9/72

Abstract: An online system predicts gender, age, interests, or other demographic information of a user based on image data of the user, e.g., profile photos, photos the user posts of him/herself within an online system, and photos of the user posted by other users socially connected with the user, and textual data in the user's profile that suggests age or gender (e.g., like or dislikes similar to a population of users of an online system). The online system similarly predicts a user's interests based on the photos of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. The online system uses the predictions to build more information about the user in the online system, and provide improved and targeted content delivery to the user that may have disparate information scattered throughout different online systems.

公开(公告)号：US20180314915A1

公开(公告)日：2018-11-01

申请号：US15497866

申请日：2017-04-26

Applicant: Facebook, Inc.

Inventor： Chaochao Cai ,  Goran Predovic ,  Wei Wei ,  Chang Liu ,  Liang Xu

IPC: G06K9/62 ,  G06N99/00 ,  G06N5/04 ,  G06K9/00 ,  G06K9/66 ,  G06K9/72

CPC classification number: G06N5/04 ,  G06K9/00677 ,  G06K9/6293 ,  G06K2009/00322 ,  G06N99/005

Abstract: An online system predicts gender, age, interests, or other demographic information of a user based on image data of the user, e.g., profile photos, photos the user posts of him/herself within an online system, and photos of the user posted by other users socially connected with the user, and textual data in the user's profile that suggests age or gender (e.g., like or dislikes similar to a population of users of an online system). The online system similarly predicts a user's interests based on the photos of the user. The online system applies one or more models trained using deep learning techniques to generate the predictions. The online system uses the predictions to build more information about the user in the online system, and provide improved and targeted content delivery to the user that may have disparate information scattered throughout different online systems.