In one aspect, an interactive system is disclosed that includes a first sex toy including a sensor that is configured to be engaged by a first user. Manipulation of the first sex toy is detected by the sensor and triggers the interactive system to provide compensation to a second user. In another aspect, a wristband sensor is provided that is configured to attach to a first user's body and the sensor is configured to send signals to a central server which determines compensation for a second user.

One embodiment provides a system for automatically generating and ranking search results matching a healthcare request, the system including: instructions to: retrieve, from at least one of a consumer device or a first provider device, one or more requests, each request associated with a healthcare service and including at least one criterion associated with the service; perform at least one of: requesting one or more bids from one or more second provider devices or retrieving one or more stored bids from a database of bids, the one or more requested or retrieved bids matching the healthcare service of the one or more requests; using a recommendation engine and the at least one criterion, generate a ranking of the one or more requested or retrieved bids; generate a graphical user interface including the one or more requested or retrieved bids; and output the graphical user interface.

Different aspects of the invention implement an enhanced DLT system, and corresponding method, that allows the peer-to-peer transmission of huge amounts of data packets of content between users, and to be stored in the DLT network, in a secure, trustworthy and efficient manner. By allowing the interface between any type of existing layer 1 DLT network, it does not require the complex, slow, costly and highly risk process involved in the generation of a new layer 1 DLT network. It opens up the range of possible applications of the DLT network to applications in Big Data, IOT, Web 3, MMOG, or any other environment that needs the trust provided by the immutability of data stored in the DLT network.

A self-checkout system includes: a checkout device that checks out a product registered by a portable terminal; a camera that captures an image of a scene where a customer attempts to resister the product; a detector that detects a registration failure state where registration of the product is determined to have failed during a period in which the registration of the product according to a single transaction is attempted; and a display that displays, during a period in which the checkout device is checking out the product registered according to the single transaction, the detected registration failure state.

A product recommendation method includes an indexing step implementing a Bayesian network capable of creating direct matches between each respective product of a product catalog and an ideal user whose characteristics are the most likely to be suitable for the respective products. The indexing step includes inputting a first descriptor vector of a product into the Bayesian network to obtain the user-characteristics most likely to be suitable for the product. The product recommendation method further includes a refining process which identifies determinants associated with nodes and conditional probabilities of the Bayesian network to minimize errors at the nodes to which the arcs of the Bayesian network point.

An artwork management method executed by one or more computers is provided. The artwork management method includes detecting, by a first computer included in the one or more computers, artwork included in a website, determining, by the first computer, whether or not a purchase transaction indicating purchase of the artwork detected is recorded in a blockchain network, and transmitting, by the first computer, a report indicating discovery of unauthorized use of the artwork, in a case where the first computer determines that the purchase transaction is not recorded. According to one aspect, the artwork management method suppresses illegal use of artwork while maintaining accessibility of the artwork.

A proposal system includes a processor. The processor is configured to propose to a user of a battery electric vehicle a rental vehicle the user is able to use during charging of an energy storage device mounted on the battery electric vehicle in order to allow the user to use the battery electric vehicle in a charged state in which the energy storage device has been charged.

Disclosed is a method and system for providing a behavior data sales service. A behavior data sales service providing method, implemented by a computer system, may include collecting behavior data of each of activity entities; associating the behavior data with unique information of each of the activity entities; generating sales data of each of the activity entities by assigning a valid period for the unique information of each of the activity entities to the unique information of each of the activity entities; monitoring the valid period for the unique information of each of the activity entities in response to selling sales data of each of the activity entities to each of purchase entities; and repeatedly updating the unique information of each of the activity entities according to the valid period for the unique information of each of the activity entities.

The present disclosure relates to improving recommendations for small shops on an ecommerce platform while maintaining accuracy for larger shops. The improvement is achieved by retraining a machine-learning recommendation model to reduce sample selection bias using a meta-learning process. The retraining process comprises identifying a sample subset of shops on the ecommerce platform, and then creating shop-specific versions of the recommendation model for each of the shops in the subset. Each shop-specific model is created by optimizing the baseline model to predict user-item interactions in a first training dataset for the applicable shop. Each of the shop-specific models is then tested using a second training dataset for the shop. A loss is calculated for each shop-specific model based on the model's predicted user-item interactions and the actual user-item interactions in the second training dataset for the shop. A global loss is calculated based on each of the shop-specific losses, and the baseline model is updated to minimize the global loss.

A method for providing brand information according to example embodiments may include receiving the search term from a user of a service, when the search term is associated with a first brand, identifying a list of related brands associated with the first brand, providing a first page including a first area displaying a first item list corresponding to the search term and a second area displaying the list of related brands associated with the first brand, and in response to an input for a second brand included in the list of related brands, providing a second page including a third area displaying a second item list of the second brand.