Methods and systems for displaying, to a user interface, categories of items for the user to select from for querying the system, in order to enable the system to return to the user images of items of the type desired by the user for possible purchase. The items categories of items can be presented to the user interface visually in silhouette form so that the user can select brand and the silhouette image of the type of item desired. Upon selection of the silhouette image, a query is sent to the system and images of the desired type of item are returned to the user interface for presentation to the user, along with certain attributes of the items.

A system for matching a cannabis user to a cannabis product is disclosed, including at least one user computing device in operable connection with a user network. An application server is in operable communication with the user network to host an application system for providing a system for providing a recommendation engine to match user information to a cannabis product which provides desired effects that match the user information. The application system includes a user interface module for providing access to the application system through the user computing device. The user interface module is in operable communication with a user database to store user information and a product database to store product information. A seed-to-sale profile includes provider information, plant genetics information, and reviews and is displayed via the user interface module. The recommendation engine receives the user information to match the user information to cannabis products.

An interior-layout assistance method that is useful in considering a layout of products in an interior. A first step of acquiring or generating 3D CAD data of an interior, a second step of designating, by a user, a classification of and a budget for a product being an at least one of furniture and a home appliance to be arranged in the interior, a step of determining arrangement candidates that are presented as different combinations of a space in which the product can be arranged among spaces in the interior and a product to be arranged in the space, the determining of the arrangement candidates performed on a basis of the 3D CAD data acquired or generated in the first step and the classification and budget for the product, the classification and the budget being designated in the second step, and a step of displaying a 3D CAD image.

According to embodiments of the disclosure, a method, apparatus, device, medium, and program product for content searching are provided. The method includes: obtaining a set of search queries associated with a target object; extracting a set of tags for the target object from the set of search queries, each of the set of tags indicating a keyword related to the target object in a corresponding search query; and determining, from recommended content items associated with the target object, one or more recommended content items matching one or more tags of the set of tags, to be provided to a target user group.

A system and method are provided for recommending physical books to a user based on images captured by a camera. One or more processors control the camera to capture images of a plurality of physical books, perform image analysis to identify each book, and access a reader preference profile of the user. The system determines a recommendation score for each book based at least in part on the reader preference profile, identifies the book with the highest recommendation score, and generates a graphical user interface including a graphical indication of the recommended book. The graphical user interface is then output to an output component, enabling the user to quickly and effectively select a physical book from a limited set of options.

An embodiment of the disclosure provides a system for recommending at least one product to a user device. The system is configured to: (a) receive N product descriptions, each product description in the N product descriptions including an image; (b) extract, for each image in the N product descriptions, a plurality of features including machine-understandable visual parameters; (c) arrange a subset of the N product descriptions relative to a surface in a grid-like manner according to the machine-understandable visual parameters; (d) providing, to the user device, the grid-like arrangement of the subset of the N product descriptions; (e) receive, from the user device, signals indicating an interaction relative to the surface; (f) in response to the signals, rearrange the subset of the N product descriptions relative to the surface; and (g) send, to the user device, the rearranged subset of the N product descriptions.

A method for providing a personalized shopping and styling experience using an AI-Interface application is provided. The method includes presenting a user app interface on a user device associated with a user to receive user data comprising user shopping and styling preferences, shopping habits, and images of the user's personal wardrobe inventory. The method also includes providing a virtual closet for the user, wherein the virtual closet comprises processed images of the personal wardrobe inventory of the user. The method further includes providing a personalized product feed source by filtering product data. The method additionally includes providing a personal stylist interface that allows stylists to access the virtual closet of the user. The method includes analyzing using an AI model, the user preferences and shopping habits, sales history, browsing history, and the selected items, wherein the AI model continuously learns and generating personalized product recommendations to the user.

Techniques for providing an immersive simulation of an itinerary comprise systems, methods and storage mediums. A system for providing an immersive simulation of an itinerary may comprise memory storing instructions and one or more processors communicatively coupled to a network. The one or more processors may be configured to execute the instructions to: acquire historical transaction data of a financial account, provide the historical transaction data to an enterprise AI platform to generate one or more personalized recommendations for the itinerary based on the historical transaction data, receive triggering data indicating a transaction of the financial account for a product and/or service, generate the immersive simulation including the one or more personalized recommendations, generate a link to the immersive simulation that is executable by a device, and provide at least one package over the network.

Methods and systems, including computer-readable media, are described for generating recommended shopping trips. A computing system captures individualized shopper preferences associated with a user that include budget constraints and dietary restrictions. The method includes generating a personalized list of shopping items based on the individualized shopper preferences using a predictive recommendation engine and identifying, based on in-store attributes and inventory status, sequences of multiple shopping locations. Each sequence provides access to the shopping items. The method includes rendering the identified sequences on a user interface with contextual navigation aids.

A platform for connecting couture and ready-to-wear fashion inclined clients with fashion designers through fashion designer vendors wherein the fashion designer vendors provide the fashion products for the client, the fashion products including quality custom-made clothing. The platform includes a space for fashion designer vendors to display fabrics on sale, a message board for the fashion designer vendors and a message board for the client. The fashion designer vendors create a profile on the platform, including a shipping profile. The client selects at least one designer as a preferred designer to allow the platform to provide a preferred fashion selection from the platform. The platform includes steps to coordinate selection, purchase and delivery of products from the fashion designer vendors to the client.