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Method and system for providing a highly-personalized recommendation engine

机译:提供高度个性化推荐引擎的方法和系统

摘要

Various embodiments of a deep learning (DL)-based face perception engine for constructing, providing, and applying a highly-personalized face perception model for an individual through a deep learning process are disclosed. In some embodiments, a disclosed face perception engine includes a deep neural network configured for training a personalized face perception model for a unique individual based on a standard set of training images and a corresponding set of decisions on the set of training images provided by the unique individual. When sufficiently trained using the standard set of training images and the corresponding set of decisions, the personalized face perception model for the unique individual perceives a new face photo/image as if through the eyes of that unique individual. Hence, the trained face perception model can be used an “agent” or “representative” of the associated person in making very personal decisions, such as to decide if a given face photo/image includes a desirable face in the eyes of that person.
机译:公开了深度学习(DL)的各种实施例,用于通过深度学习过程构建,提供和应用用于个体的高度个性化的面部感知模型。在一些实施例中,所公开的面部感知引擎包括基于一组标准的训练图像和由唯一的训练图像集的标准训练图像和相应的一组决策,该深度神经网络被配置用于训练独特的个人,并且是基于唯一的训练图像的相应决策个人。当使用标准训练图像和相应的决策集足够训练的训练时,独特的人的个性化脸部感知模型感知新的脸部照片/图像,仿佛通过那个独特的人的眼睛。因此,培训的面部感知模型可以用作相关人的“代理”或“代表”制定非常个人决定,例如指定给定的面部照片/图像包括在该人的眼中所需的面部。

著录项

  • 公开/公告号US10956523B2

    专利类型

  • 公开/公告日2021-03-23

    原文格式PDF

  • 申请/专利权人 YU HUANG;FANG CHEN;

    申请/专利号US201816129453

  • 发明设计人 YU HUANG;FANG CHEN;

    申请日2018-09-12

  • 分类号G06F16/9535;G06K9;G06N3/08;G06F16/51;G06F16/583;G06K9/62;

  • 国家 US

  • 入库时间 2022-08-24 17:50:38

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