Abstract: Methods and systems for providing a product bundle recommendation are disclosed. One method includes receiving a selection of a first product at a retail website, and identifying the first product in a product graph generated from historical add to cart data. The method includes, identifying, in the product graph: one or more edges from the initial product to secondary products; one or more edges from a similar product to one or more secondary-similar products; and one or more inferred edges from the initial product to one or more inferred secondary products. The method further includes forming a set of recommended products from the one or more secondary products, the one or more secondary-similar products, and the one or more inferred secondary products, and presenting a bundled product recommendation selected from among the set of recommended products.

Abstract: An example computer-implemented method for self-supervised training of an image processing model for histopathology images is provided. The example method includes obtaining a reference histopathology image; generating an augmented histopathology image, wherein generating the augmented histopathology image comprises performing, for an input image, at least one of the following augmentations: applying a blur to the input image and injecting noise artifacts into the blurred input image; or cropping a plurality of portions from the input image, wherein the plurality of portions are determined based on a minimum overlap criterion that has been updated over one or more iterations; and training the image processing model based on a similarity of latent representations generated by the image processing model respectively for the reference histopathology image and the augmented histopathology image.

Abstract: Methods and systems for providing a product bundle recommendation are disclosed. One method includes receiving a selection of a first product. Data relating to historical customer shopping activity and data describing online shopping sessions in which products are selected for addition to historical shopping carts to which the first product was previously added is accessed. A list bundled products having a complementary relationship with the first product is generated. At least one product from the list of bundled products is selected and the at least one product is presented on a user interface on a customer device as a recommendation for purchase with the first product. A filter may be applied to the list of bundled products, such as a price filter. The method may be performed by a system including one or more computing devices communicating via a network with one or more data storage devices.

Abstract: Embodiments of the present disclosure provide methods, systems, and computer program products that facilitate the creation, sale, transfer, and exchange of tokens with a backing component on a platform. The method includes obtaining a digital asset for conversion to a token. The digital asset is a non-fungible token (NFT). The method also includes collecting a backing component for the digital asset and creating a smart contract associated with the digital asset. The smart contract links the backing component for the digital asset. The method further includes generating the token via tokenization of the digital asset and the smart contract. Embodiments of the disclosure include token that include backing components that are physical assets and banking mechanisms that are retrievable when predetermined criteria are achieved.

Abstract: Described herein is a method of web browser enabled annotation sharing comprising receiving information associated with the annotation, creating an anchored annotation based upon the received information associated with the annotation; and storing the anchored annotation. Further described herein is a method of retrieving an anchored annotation comprising receiving a request for an anchored annotation associated with particular content, retrieving anchored annotations associated with the particular content, filtering the retrieved anchored annotations; and, providing the filtered retrieved anchored annotations (e.g., to user(s) viewing the same content).

Abstract: Described herein is a method of web browser enabled annotation sharing comprising receiving information associated with the annotation, creating an anchored annotation based upon the received information associated with the annotation; and storing the anchored annotation. Further described herein is a method of retrieving an anchored annotation comprising receiving a request for an anchored annotation associated with particular content, retrieving anchored annotations associated with the particular content, filtering the retrieved anchored annotations; and, providing the filtered retrieved anchored annotations (e.g., to user(s) viewing the same content).