System and method for providing personalized product recommendations using deep learning

Embodiments of the present disclosure provide a system, method, and computer-readable medium for using a machine learning model to enable a computing device to detect and identify cosmetics in a facial image. In some embodiments, a model training system may collect training data for building a machi...

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Bibliographische Detailangaben
Hauptverfasser: CHAROT GREGOR, PERRAULT, MATHIEU, MALAPRAT HELGA, KIPPS ROBIN, THIBERT GERALDINE
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:Embodiments of the present disclosure provide a system, method, and computer-readable medium for using a machine learning model to enable a computing device to detect and identify cosmetics in a facial image. In some embodiments, a model training system may collect training data for building a machine learning model by analyzing facial images associated with marker data. In some embodiments, the recommendation system may be configured to detect a product in the facial image using a machine learning model generated by the model training system, and add information to the dress-up data store based on the detected product, and/or provide recommendations for similar dress-up from the dress-up data store based on the detected product. 本公开的实施例提供了一种使用机器学习模型来使得计算装置能够在面部图像中检测和标识化妆品的系统、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记数据相关联的面部图像来收集用于构建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,并且基于检测到的产品向装扮数据存储器添加信息,和/或基于检测到的产品从装扮数据存储器提供针对类似装扮的推荐。