Abstract: Various embodiments described herein provide techniques for analyzing an image (e.g., a selfie) of a user with one or more pre-trained machine learned models, to detect facial characteristics of the user. Then, using the output of the machine learned model(s), various combinations of detected facial characteristics are used to assign the user with one style profile of several predefined style profiles. Finally, the style profile may be used in the selection of one or more products to be recommended to the user.

Abstract: Described herein are techniques for using software-based algorithms, and machine learning models, to generate product recommendations for users. By way of example, product information is obtained from one or more third-party partner systems (e.g., websites, ERP or inventory management systems, and so on). The product information is then analyzed to derive product characteristics (e.g., color, size, cut, fashion classification, and so forth) for each product. Depending upon the combination of product characteristics derived for a product, the product is assigned or associated with one of several predefined product profiles or styles. The product profile is then used to map or match the product with a style profile of an end-user of the product recommendation system, and ultimately, one or more product recommendations are presented to an end-user.

Abstract: In some examples, a method includes using at least one processor, accessing image data representing an image of a face of a user, identifying a facial feature of the user using the image data, using the at least one processor, automatically matching the facial feature to a matched pattern of a plurality of patterns, based on configured pattern lookup rules, identifying a product depiction, from a plurality of product depictions stored in product database, based on the matched pattern of the plurality of patterns, and causing display of the product depiction on a user interface.

Abstract: Various embodiments described herein provide techniques for analyzing an image (e.g., a selfie) of a user with one or more pre-trained machine learned models, to detect facial characteristics of the user. Then, using the output of the machine learned model(s), various combinations of detected facial characteristics are used to assign the user with one style profile of several predefined style profiles. Finally, the style profile may be used in the selection of one or more products to be recommended to the user.

Abstract: In some examples, a method includes using at least one processor, accessing image data representing an image of a face of a user, identifying a facial feature of the user using the image data, using the at least one processor, automatically matching the facial feature to a matched pattern of a plurality of patterns, based on configured pattern lookup rules, identifying a product depiction, from a plurality of product depictions stored in product database, based on the matched pattern of the plurality of patterns, and causing display of the product depiction on a user interface.

Abstract: Various embodiments described herein provide for a method that comprises: accessing an image representing a face of a user; identifying a base color of the user's face based on the image; matching the base color of the user's face to a color palette based on configured color lookup rules; identifying a product depiction, from a plurality of product depictions stored at an ecommerce server, based on a color of the product being included in the color palette; and causing the display of the product depiction on a user interface.

Abstract: Various embodiments described herein provide for a method that comprises: accessing an image representing a face of user; identifying a base color of the user's face based on the image; matching the base color of the user's face to a color palette based on configured color lookup rules; identifying a product depiction, from a plurality of product depictions stored at an ecommerce server, based on a color of the product being included in the color palette; and causing the display of the product depiction on a user interface.