A method and software product for implementing the method of providing compensation from an on-line seller to a contractually unaffiliated retail outlet based on an on-line seller receiving an on-line order for a product from a customer. The on-line seller determines the identity of the retail outlet where showrooming of the product occurred, and contacts the retail outlet to offer payment associated with the on-line order of the product.

The present invention relates to a system and method for analyzing videos. The system comprises a video section and a tabs section, wherein the video section comprises a video and the tabs section comprises at least one tab with items or information related to the video. In most embodiments one of the tabs is a products tab which lists items in the video which can be purchased. These items are associated with specific time points in the video, generally when the item is visible in the video. When a user watches the video, the individual products will be highlighted as their time points are viewed. The user can additionally scroll through the list of products without effecting video playback. The method comprises the gathering and uploading of information associated with the video.

A system can implement an on-demand delivery service for available menu items by generate menu item vectors representing menu items and personal preference vectors representing user preferences in latent space comprising a word corpus of descriptive terms. Based on these vectors or matrices, the system can determine a set of matching menu items for the user, and transmit content data to a computing device of the user, causing the computing device to display the set of matching menu items as recommended selectable items for on-demand delivery. Based on a user selection of one of the available menu items, the system can coordinate on-demand delivery of the selected menu item to the respective user.

This system of the present invention comprises a means of presenting a user with information of a plurality of wines, a means of receiving first user input selecting one among the plurality of wines, a means of presenting the user with information of one or more stores corresponding to the selected wine, a means of receiving second user input selecting one among the one or more stores, and a means of performing processing for purchasing or reserving the selected wine in order to provide the user with the selected wine in the selected shop in response to receiving the second user input.

A system is described herein. The system includes a merchant server hosting a marketplace service and a computing device. The marketplace service is configured to access a first website housing products and a second website housing products, perform an acquisition operation to extract information about a first product of the products from the first website and from the second website, and aggregate the information about the first product into a comparison format. A marketplace application of the computing device allows the user to access the marketplace service. The marketplace application transmits a request received from the user for the information associated with the first product to the marketplace service, where the marketplace service executes the request and displays the comparison format of the information for the first product to the user via a graphical user interface (GUI) of the computing device.

A method and a system for garment try-on. The method includes: capturing a three dimensional (3D) image of a customer; obtaining first 3D pose of the customer in the 3D image; performing a machine learning model on the 3D pose to generate a first skinned multi-person linear model (SMPL) pose; calculating an angle of the whole body rotation of the customer based on the first SMPL pose; when the angle is in a predefined range relative to a front direction of the customer: constructing an SMPL model using the first SMPL pose; and when the angle is out of the predefined range: generating a second SMPL pose using two dimensional (2D) component of the 3D image, and constructing the SMPL model using the second SMPL pose.

An information processing device including a processing device is provided. The processing device acquires first information about a stock of a first product in an actual store and second information about a stock of a second product in the store. The processing device creates a display effect to highlight one product of the first product and the second product more than the other product, based on the first information and the second information, using a display effect device creating the display effect in the store.

Methods and systems for generating item recommendations are disclosed. One method includes sampling from a weighted node-based graph to generate a sampled graph, wherein sampling includes selecting a plurality of nodes and, for each selected node, one or more node pairs. The selection of the node pairs is based at least in part based on a weight assigned to the node pair in the weighted node-based graph. The method further includes aggregating information from the one or more neighboring nodes into each corresponding node of the plurality of nodes in the sampled graph to generate a vector representation of the sampled graph. The method also includes applying a loss function to the vector representation of the sampled graph to generate a modified vector representation. The modified vector representation is used to generate, in response to identification of an item from an item collection, a selection of one or more recommended items from within the item collection.

Methods, devices, and systems related to a computing device for capturing and displaying an augmented reality (AR) image are described. An example method can include capturing a first three-dimensional (3D) figure of a user at a mobile device. The method further includes accessing the first 3D figure of a user at the mobile device. The method further includes receiving, at the mobile device, a selection of a product to display on the 3D figure. The method further includes displaying, on the mobile device, the product to display on the first 3D figure as an augmented reality (AR) image.

A method is provided, which includes receiving, at a server, a request from a device to find one or more charge units for charging an electric vehicle at a geographic location. The method includes accessing, by the server, a first database to identify charge units that are associated with the geographic location. The method includes accessing, by the server, a second database to identify discounts available at the charge units identified to be associated with the geographic location. One of the identified discounts on one of the charge units is provided by a first merchant having a business location proximate to the one of the charge units. The method includes sending, by the server, data to the device that identifies one or more of the charge units that are associated with the geographic location, the data further including information regarding one or more discounts identified to be available at one or more of the identified charge units.