A method includes receiving request to register for a mobile wallet from a user mobile device; determining that a user associated with the user mobile device has an account at a financial institution; identifying a subset of services from a plurality services commonly used by the group of mobile wallet users; generating user interface parameter instructions that cause presentation of mobile wallet interfaces specific to the identified subset of services; displaying a mobile wallet interface having a graphical depiction of at least one service from the identified subset of services; receiving an activity dataset for a mobile wallet session of the user; determining that the user has not interacted with the graphical depiction of the at least one service from the identified subset of services during the mobile wallet session of the user; and, updating the mobile wallet interface to remove the graphical depiction of the at least one service.

Certain aspects involve systems and methods for providing display content using RFID tags in geo-fenced zones. One example method includes processing devices that perform operations that include scanning radio-frequency identification (RFID) tags in a geo-fenced zone. The RFID tags correspond to a plurality of items. Further, the operations include retrieving a marketing campaign associated with the plurality of items. The marketing campaign comprises rules based on inventory information. In addition, the operations include determining the inventory information for the plurality of items based on the RFID tags. The operations further include selecting an item from among the plurality of items based on a rule associated with the marketing campaign. The rule is based on the inventory information. Additionally, the operations include generating display content based on the item.

This document describes the autonomous collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications in an automatic and autonomous manner. Specifically, the disclosed methods, devices, and systems may be employed to produce one or more communications and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating predicted user engagements, thereby accurately determining the cost benefits of the communication campaign. The system may track, evaluate, and provide analytic results that may then be used to better guide the system parameters for customizing autonomous communications directed one or more characteristics of a defined target audience.

This disclosure describes one or more implementations of a model segmentation system that generates accurate audience segments for client devices/individuals utilizing multi-class decision tree machine-learning models. For example, in various implementations, the model segmentation system generates a customized loss penalty matrix from multiple loss penalty matrices. In particular, the model segmentation system can generate regression mappings of model evaluation metrics for a plurality of decision tree models and combine loss penalty matrices based on the regression mappings to generate a customized loss penalty matrix that best fits an administrator's customized needs of segment accuracy and reach. The model segmentation system then utilizes the customized loss penalty matrix to train a multi-class decision tree machine-learning model to classify client devices into non-overlapping audience segments. Further, in one or more implementations, the model segmentation system refines the multi-class decision tree machine-learning model based on adjusting the tree depth.

Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness. Also, methods providing a data storage system for storing digital renditions of garments; providing a portable communication device to extract color and/or pattern from garments through use of a camera and at least one algorithm; providing a processor capable of accessing locally stored and/or remote information about or learning the preferred matching set of garments; assigning each garment in the set of garments a red-green-blue (RGB) value; providing a suitability ranking for matching compatibility of the garment or the set of garments; and providing recommendations for preferred matching garment or set of garments by organizing the garments in at least one queue selected from the group consisting of audial, tactile, visual or a combination thereof, wherein the individual imports garments or set of garments, through a series of photos or video, for bulk import into a virtual closet for the identification and assignment of type of garments or set of garments using human or computational methods.

Techniques described herein are directed to receiving audio input during playback of multimedia content to trigger purchase and payment for an item represented in the multimedia content. In an example, multimedia content is sent to a user device. The multimedia content may contain a representation of an item and an indication that the item can be purchased. Based on receipt of an indication that trigger words were spoken during playback, a recording is initiated. A purchase intent of the user for the item is determined based on the recording. A graphical user interface is displayed via the user device to initiate payment by the user for the item.

Techniques described herein are directed to e-commerce tags in multimedia content. In an example, multimedia content is received that includes a representation of an item offered for sale by a merchant. A user profile of the viewer is determined. Identifying information including customized item details are generated based on the user profile. The identifying information is sent to a different application (on a same device or different device as the device that is playing the multimedia content), which allows for linkage of a merchant profile and user profile and enables payment for the item.

Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness. Also, methods providing a data storage system for storing digital renditions of garments; providing a portable communication device to extract color and/or pattern from garments through use of a camera and at least one algorithm; providing a processor capable of accessing locally stored and/or remote information about or learning the preferred matching set of garments; assigning each garment in the set of garments a red-green-blue (RGB) value; providing a suitability ranking for matching compatibility of the garment or the set of garments; and providing recommendations for preferred matching garment or set of garments by organizing the garments in at least one queue selected from the group consisting of audial, tactile, visual or a combination thereof, wherein the individual imports garments or set of garments, through a series of photos or video, for bulk import into a virtual closet for the identification and assignment of type of garments or set of garments using human or computational methods.

In a method for delivering targeted television advertisements based on online behavior, IP addresses indicating online access devices and IP addresses indicating television set-top boxes are electronically associated for a multitude of users. Using user profile information derived from online activity from one of the online access IP addresses, a television advertisement is selected, such as by using behavioral targeting or demographic information, and automatically directed to the set-top box indicated by the set-top IP address associated with that online access IP address. Preferably neither the user profile information nor the electronic association of online access and set-top box IP addresses includes personally identifiable information.

An automatic system facilitates selection of media properties on which to display an advertisement, responsive to a profile collected on a first media property, where a behavioral-targeting company calculates expected profit for an ad correlated with the profile and arranges for the visitor to be tagged with a tag readable by the selected media property. The profit can be calculated by deducting, from the revenues that are expected to be generated from an ad delivered based on the collected profile, at least the price of ad space at a media property where the BT company might like to deliver ads to the profiled visitor. When the calculated profit is positive (i.e., not a loss), the BT company arranges for the visitor to be tagged with a tag readable by the selected media property through which the BT company expects to profit.