A cloud-based multi-tenant system for policy-driven locality route and traffic management is disclosed. The cloud-based multi-tenant system includes a plurality of routes through the cloud-based multi-tenant system to deliver services to a plurality of end user devices. Each route is characterized by one or more of locality and residency. The plurality of routes are specified for a plurality of policies. An application running on an end user device requests a policy chosen from the plurality of policies. A route of the plurality of routes corresponding to the policy for the end user device is returned. The plurality of policies control the residency for the plurality of cloud services and the plurality of routes. Communication is performed via the route between the application and a cloud service according to the policy.

A guided search system for suggesting and arranging filter criteria within a user interface for presentation to a user to help guide the user’s search for listings is disclosed. The system builds one or more filter criteria frequency data structures indicative of the number of times each filter criterion has been used to filter search results and how often different filter criteria are used together. The system uses the frequency data structures to predict which filter criteria a user will likely employ to narrow their search given the filter criteria the user has already used. The system provides techniques for arranging or rearranging filter criteria within a user interface, by moving, placing, or ordering suggested filter criteria within the user interface, where a user is likely to be able to recognize and interact with the placed filter criteria, based on the determined amounts of use.

An information processing apparatus acquires factual features of each of a plurality of users as user features, creates a relationship graph showing a social relationship between the plurality of users based on the user features, sets a target user among the users, sets at least one user related to the target user among the plurality of users as a related user based on the relationship graph, and estimates an attribute of the target user based on the user feature of the target user and the user feature of the related user.

A method and apparatus for providing a user-customized coffee recipe and coffee corresponding to the same relates to a method of operating a server, through which one or more recommended recipes are provided to a user requesting a coffee based on a plurality of coffee recipes provided by users participating in a service, the user watches an advertising video for a determined recipe of his/her choice, and then a quick response (QR) code that allows the user to receive the coffee of the determined recipe from a coffee shop associated with the server offline is provided, and a server device. The method and apparatus enable consumers to receive coffees based on their own recipes regardless of time and place and can encourage users to create coffee recipes, share profits, and provide customized recommendations to other users, and provide a coffee service on a metaverse platform linked to an actual user.

An information processing apparatus acquires a factual feature of each of a plurality of users as user features, acquires features regarding a plurality of items as item features from a predetermined database, constructs, based on the user features and the item features, a graph including a plurality of user nodes representing the plurality of users, a plurality of item nodes representing the plurality of items, and links indicating mutual relationships between the plurality of user nodes and the plurality of item nodes, and extracts a node representation, in the graph, of any node of the plurality of user nodes and the plurality of item nodes from the graph.

A targeted advertising scheduling and displaying process in the context of product terminal displays is made possible by systems and methods as disclosed herein. A graphical user interface (GUI) allows a content provider to select digital content and display timing instructions, which the associated server will ultimately send to a server associated with the product terminal displays by first sending data that references the digital content and includes the display timing instructions, and then sending the digital content itself in response to the execution of the data at the server associated with the product terminal displays. Using this claimed technique and system, a content provider can target digital content to particular product terminal displays.

A targeted advertising scheduling and displaying process in the context of product terminal displays is made possible by systems and methods as disclosed herein. A graphical user interface (GUI) allows a content provider to select digital content and display timing instructions, which the associated server will ultimately send to a server associated with the product terminal displays by first sending data that references the digital content and includes the display timing instructions, and then sending the digital content itself in response to the execution of the data at the server associated with the product terminal displays. Using this claimed technique and system, a content provider can target digital content to particular product terminal displays.

Systems and methods for facilitating the provision of goods using automated stores are provided. The automated stores are distributed across a geographical area and are remotely controlled to create an on-line marketplace. Users of the system can access the marketplace using an interactive portal to purchase items. Buyers can create purchase orders for items stocked in the marketplace and collect the items at one or more automated stores. The items are consigned to the buyers in real time at the automated store.

Transaction modification based on modeled profiles is described. In an example, transaction data can be received by a payment processing system. The payment processing system can generate, using a trained model, profiles. Based at least in part on (i) receiving an indication that a buyer and a merchant are engaged in, or likely to be engaged in, a transaction and (ii) determining that a characteristic of the transaction corresponds to a profile, generating a communication to enable the buyer or the merchant to modify the transaction in association with processing of the transaction.

A multi-region risk relationship data store may contain electronic records representing a plurality of multi-region risk relationships and, for each multi-region risk relationship, an electronic record identifier and a set of multi-region attribute values including a plurality of hierarchical local risk relationship attribute values. A back-end application computer server may receive an indication of a selected risk relationship and display at least some of the associated multi-region attribute values. The server may receive adjustments to some of the multi-region or local risk-relationship attribute values, and displayed information may be automatically and dynamically configured based on the received adjustments and a standalone risk calculation unit. At least some local risk relationship attribute values may be replicated for multiple regions. When adjustments have been completed, the server may automatically assemble a multi-region risk relationship document.