A computer-implemented method, computer program product and computing system for receiving a complex task; processing the complex task to define a plurality of discrete tasks each having a discrete goal; executing the plurality of discrete tasks on a plurality of machine-accessible public computing platforms; determining if any of the plurality of discrete tasks failed to achieve its discrete goal; and if a specific discrete task failed to achieve its discrete goal, defining a substitute discrete task having a substitute discrete goal.

The present disclosure generally relates to techniques for managing contextual transactions. In some examples, at a sender electronic device, a first user provides authorization to purchase an item for a second user. In some examples, at a recipient device, the second user selects one or more attributes for the item and requests to claim the item. In some examples, an electronic device displays a representation of an item and a purchase affordance for purchasing the item using a payment system that is available on the electronic device.

The disclosed systems, components, methods, and processing steps are directed to determining user-item fit characteristics of an item for a user body part by accessing a three-dimensional (3D) reconstructed model of the user body part, accessing information about one or more 3D reference models of the item, the information for each 3D reference model including respective dimensional measurement, spatial, and geometrical attributes, performing a 3D matching process based on the 3D reconstructed model and the accessed information of the one or more 3D reference models to determine a best-fitting 3D reference model from the one or more 3D reference models, integrating the best-fitting 3D reference model with the 3D reconstructed model to provide a 3D best fit representation and displaying the 3D best fit representation along with visual indications of user-item fit characteristics.

Aspects described provide systems and methods that relate generally to image analysis and, more specifically, identifying individual components and elements in an image. The systems and methods include a valuation application executing one or more application program interfaces (APIs) communicating with one or more websites via a network, where the user is prompted to enter information and/or take pictures or videos of their vehicle that they would like to sell. The valuation application utilizes a machine learning model to identify and value the various vehicle components within the images and videos. Based on the machine learning model, the valuation application identifies each component according to the images and videos and performs a search to determine the value of the components identified. The valuation application tabulates and summarizes the vehicle component resale values and resell information for the user to view.

Improved techniques and systems for delivery and acquisition of digital assets are disclosed. The techniques and systems are especially suitable and useful for delivering digital assets (e.g., media assets) that are available for acquisition and electronic delivery from online stores to electronic devices. In accordance with one aspect, when a digital asset is acquired form an online store via an electronic device associated with a user, the digital asset can be arranged for delivery to a number of other of electronic devices also associated with the user. It will be appreciated that the digital asset can be delivered and acquired without requiring explicit user input or instruction in accordance with another aspect. Other aspects of the techniques and systems include customization of configuration and user interfaces that are provided to facilitate acquisition of digital assets in a more efficient manner.

This disclosure provides a system and method for providing intelligently-selected collections of user-centric content in a web browser. When implemented as a method, the method includes maintaining a user-centric graph with a plurality of user-centric facts derived from user interaction with different computer services. The method further includes recognizing different contexts of interest to the user. For each context, a collection of user-centric facts pertaining to the context are recognized in the user-centric graph, such recognition being based on a relationship between user-centric facts in the user-centric graph. The method further includes, for each context, displaying intelligently-selected content based on the collection of user-centric facts.

A system architecture of a gift transaction system is disclosed. The gift transaction system can include a buyer interface module, a recipient interface module, a merchant backend interface module, a store front interface module, a curation module, a reminder module, an analytics module, or a media plug-in interface module. A method of operating the gift transaction system under the system architecture includes: providing an embedded widget on a website to determine gift intent to initiate a gift transaction by a buyer account for a recipient account; generating a gift buyer interface for a first client device to personalize a gift package including a gift item; generating a gift recipient interface for a second client device to customize the gift package; and communicating with a merchant backend system to complete the gift transaction to ship the gift package.

A trade exchange system and method provide transparency and accountability for each idea producer and each follower of each idea producer with respect to trades executed based on a trade idea circulated by the idea producer. The trade exchange system and method may use application-programming interfaces (APIs) to gather data from a brokerage entity in order to verify the trades executed in response to the trade idea by the idea producer and the follower.

Aspects described herein may allow for generating a customized price rating using a machine learning algorithm. This may have the effect of improving the display of information about merchants by including customized, personalized price ratings that better reflect the tastes and preferences of a user or group of users. According to some aspects, these and other benefits may be achieved by using a machine learning model, trained to receive input corresponding to both user data and merchant data and output an indication of a customized price rating for the merchant that is specific to the user, and then to generate information about the merchant for display that includes the customized price rating.

An information processing apparatus accepts an inquiry about rental of a power feed mat that can supply electric power to a movable body. In the information processing apparatus, association information in which category information is associated with identification information of each of a plurality of power feed mats is stored. The category information indicates to which of a plurality of categories set for characteristics at least one characteristic of the power feed mat belongs. The information processing apparatus specifies at least one power feed mat among the plurality of power feed mats based on the accepted inquiry and the association information. The information processing apparatus provides information based on a result of specifying.