Discovering cross-category latent features

    公开(公告)号:US10290040B1

    公开(公告)日:2019-05-14

    申请号:US14856149

    申请日:2015-09-16

    Abstract: The dimensionality of user data can be reduced in order to allow cross-category data to be used to determine recommendations, advertising, or other supplemental content within a specific category. A first reduction in dimensionality results from rolling up category nodes to higher-level nodes. User data for the higher-level nodes can be used to train a neural network, with a user signature being generated using node values from a hidden layer of the trained model. The user signature can then be used to train a category specific model in order to obtain category-specific recommendations, determine category-specific advertising, or select other supplemental content based at least in part upon cross-category data.

    Signed identifiers for confirming offer eligibility

    公开(公告)号:US10943246B1

    公开(公告)日:2021-03-09

    申请号:US15195913

    申请日:2016-06-28

    Abstract: Systems and methods are provided for generating a signed identifier associated with an item offer and a user account. When the identifier is submitted to a computing system to redeem an associated offer, a signature within the identifier may be analyzed to confirm that the identifier has not been modified. An item discount associated with an item offer identified in the identifier may then be applied within the identified user's account based on offer details retrieved from an electronic data store.

    Sample color selection for online retail items

    公开(公告)号:US10672049B1

    公开(公告)日:2020-06-02

    申请号:US14494576

    申请日:2014-09-23

    Abstract: Systems, methods, and computer-readable media are disclosed for identifying a set of images of child variants of a parent item, identifying a set of colors in the set of images, categorizing the set of colors into color subgroups, identifying a set of representative color(s) for the color subgroups, generating a color value distribution representation for an image of a child variant that indicates a respective number of pixels in the child variant image corresponding to each of one or more representative colors, identifying a color cluster in the color value distribution representation, scoring the color cluster, and selecting a particular color from the color cluster for inclusion in a sample image of the child variant if the color cluster score meets or exceeds a threshold value.

Patent Agency Ranking