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SYSTEMS AND METHODS FOR PROVIDING PERSONALIZED PRODUCT RECOMMENDATIONS USING DEEP LEARNING

机译:使用深度学习提供个性化产品推荐的系统和方法

摘要

Embodiments of the present disclosure provide systems, methods, and computer-readable media that use machine learning models to enable computing devices to detect and identify cosmetic products in face images. In some embodiments, a model training system may gather training data for building the machine learning models by analyzing face images associated with tagging data. In some embodiments, a recommendation system may be configured to use the machine learning models generated by the model training system to detect products in face images, and to add information based on the detected products to a look data store, and/or to provide recommendations for similar looks from the look data store based on the detected products.
机译:本公开的实施例提供了使用机器学习模型来使计算设备能够检测和识别面部图像中的化妆品的系统,方法和计算机可读介质。在一些实施例中,模型训练系统可以通过分析与标签数据相关联的面部图像来收集用于建立机器学习模型的训练数据。在一些实施例中,推荐系统可以被配置为使用由模型训练系统生成的机器学习模型来检测面部图像中的产品,并将基于检测到的产品的信息添加到外观数据存储,和/或提供推荐。根据检测到的产品从外观数据存储中获取相似外观。

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