SYSTEMS AND METHODS FOR PROVIDING PERSONALIZED PRODUCT RECOMMENDATIONS USING DEEP LEARNING

    公开(公告)号:US20210264204A1

    公开(公告)日:2021-08-26

    申请号:US17317742

    申请日:2021-05-11

    Applicant: L'Oreal

    Abstract: 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.

    Advanced techniques for improved product photography, interactivity, and information distribution

    公开(公告)号:US11010809B2

    公开(公告)日:2021-05-18

    申请号:US16129615

    申请日:2018-09-12

    Applicant: L'Oreal

    Abstract: A computing device obtains a digital image of a color calibration target for a product; obtains product information for the product; determines image adjustment information based on the digital image of the color calibration target; obtains a digital image of the product based on the image adjustment information; and transmits the image data of the product and the product information to a backend product computer system. Obtaining the product information for the product may include scanning a graphical code, such as a QR code or a bar code, or obtaining information from the product via short-range radio-frequency communication. The method may further include receiving a response from the backend product computer system, which may include additional product information. The color calibration target and encoded product information may be included in a QR code having three or more color regions.

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