According to the present disclosure, there is disclosed a method of providing search information using an electronic apparatus, which includes: checking information on a product group corresponding to a keyword acquired from a user; checking color information on one or more products included in the product group; and providing a search result page corresponding to the keyword, the search result page including at least some of one or more color chips corresponding to the information on the product group and the color information on the one or more products.

An item information providing method according to example embodiments may include checking a plurality of products corresponding to a search term received from a user who uses the service, and providing a first page that includes a first region in which a list of the plurality of products is displayed and a second region in which a filtering interface configured to filter the list of the plurality of products displayed in the first region according to a user's input is displayed.

The disclosure generally relates to a system for creating color-customizable customized beverages (e.g., adding various color ingredients to a beverage to customize the color of the beverage). The system may obtain color mappings (e.g., manual color mappings) that map particular color ingredients to particular colors. The system can generate a three-dimensional color map based on the color mappings to identify additional color mappings. The system can receive a request for a particular beverage with a particular color, and based on the three-dimensional color map, the system can identify a color mapping for the particular color. The system can output an instruction set for the color mapping and/or can cause an automated dispensing platform to dispense one or more particular color ingredients for the beverage based on the color mapping.

A transformer categorization architecture is applied to image and text data sets to determine a taxonomy for items in a large database of products. Aggregating recommendations from a multi-modal categorization process achieves a more accurate product classification with potentially less training. The system is implemented to support an e-commerce portal and user facilitated access to products for online purchases.

An information processing device stores vehicle information on each of a plurality of vehicles, and the information processing device includes one or more processors configured to: acquire an attribute of a user who browses the vehicle information; and change a display content that is the vehicle information displayed on a terminal device based on the attribute.

An information processing device stores vehicle information on each of a plurality of vehicles, and the information processing device includes one or more processors configured to: acquire an attribute of a user who browses the vehicle information; and change a display content that is the vehicle information displayed on a terminal device based on the attribute.

An information processing system includes an information processing device that records vehicle information of each individual vehicle. The information processing device includes a controller configured to send a first signal for collecting information on buying and selling of a first vehicle in secondary distribution, when the controller detects viewing of vehicle information of the first vehicle.

A system includes a server including a controller. The controller is configured to obtain information regarding consent or non-consent of a user of a vehicle to disclosure of history data of the vehicle to a third party, and determine, when determination is made that consent of the user is not obtained, whether to transmit a signal that prompts for obtaining consent of the user, based on at least one of the history data of the vehicle and user activity information of the user.

In an embodiment, the disclosure provides computer-implemented systems and methods for providing graph-based recommendations of digital media collaborators for content creators. In an embodiment, the disclosure provides computers programmed to implement a networked, online platform for facilitating collaboration between content creators. In an example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, of a specific content type. In another example embodiment, the platform provides a system for recommending a collaborator for a particular content creator to create content with, without restricting the content type, using a community detection algorithm. In embodiments, recommendations may be made partly based on centrality measures of creator nodes on a network graph programmatically calculated between content nodes of that network graph, or content nodes of a community detected in the network graph. Recommendations may also be informed by characterizations of followers of content creators.

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.