Abstract: System and computer-implemented method of analyzing tags associated with a sequence of images presented to a user to present a current interest of the user is disclosed. An image from among a plurality of images is presented on an electronic display. The image is associated with a set of tags. An input is received indicating a user's preference for the image. A plurality of tags is processed based on the preference and the set of tags to determine a next set of tags from the plurality of tags. A next image is determined from the plurality of images based on the next set of tags. The next image represents a physical object, different from a physical object represented by the previous image. A sequence of images is generated by repeating the above process with the next image in place of the previous image for present a user's current interest.

Abstract: Systems and methods are configured to determine customer-specific recommendations in the form of ordered listings of objects (e.g., talking points for discussion) for interacting with customers during customer-service interactions based on the effectiveness of historical customer-service interactions. One or more machine-learning customer similarity models are further configured to determine similarities between customers, such that customer-service interaction strategies utilized for a first customer may be applied to determined similar customers. Moreover, based at least in part on historical interaction data generated for previous customer-service interactions, a machine-learning recommendation model is configured to generate an ordered listing of objects (e.g., talking points for discussion) for interacting with customers, and such recommendations may be presented to a customer-service representative via a graphical user interface.

Abstract: Techniques for operating an autonomous retail system (ARS) are discussed herein. An ARS may include input devices, output devices, input-output (I/O) devices, and an inventory of items. The ARS may send or receive connection request with user equipment, such as a mobile device, and a connection may be established between the user equipment and the ARS. Techniques for identifying and authenticating the user equipment are discussed herein. The ARS may cause a display of the inventory of items on a display of the user equipment. The display of the ARS may be mirrored on the display of the user equipment. A user, via the user equipment, may provide indication(s) including a selection of an action such as a purchase action and selection of an item based on the action. Based on the indication(s), the ARS may dispense the item to the user. Scheduling techniques are discussed for the ARS to provide service to multiple customers.

Abstract: A computer-implemented method and system may include receiving, at an e-commerce order processor, an order from a first user comprising at least one product, wherein the order is received in association with an order sharing configuration indication; processing the order based on an order sharing criterion; receiving an order change from a second user; and processing an order completion.

Abstract: Type ambiguity detection methods and systems are provided to predict a browse node classification for items in an electronic catalog and determine ambiguity between browse nodes based at least partly on the predicted browse node classifications for the items. For example, the type ambiguity detection system may identify a plurality of search queries previously submitted by users of the electronic catalog, determine a plurality of browse nodes that are frequently selected after submitting the search queries, determine items that consumers frequently view or purchase in connection with the search queries, input the items into a classifier, receive an output predicting a proper item type or browse node for a given item, and initiate an action in response to determining ambiguity.

Abstract: This disclosure is directed to a system and method that generates personalized recommendations of media items for customers based on a customer's preference for familiar or novel media items. A customer can be associated with user data that can include data such as a customer's purchase data, shopping data, etc. The user data can be used to determine media item data that is associated with the customer. Based on the customer's media item data, a familiarity score can be generated that indicates a media consumption preference of the customer. Using the familiarity score, a recommendation identifying a media item can be generated for the customer.

Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.

Abstract: A token specifying a payment account is issued to a party to which payments are to be made and the token is installed in a specially configured camera. Whenever a photograph is captured by the camera, a copy of the token, among other things, is embedded in the photograph's metadata. The metadata may also include photo-specific information and a selling price. When a buyer selects the photo for purchase, the token may be used to facilitate a payment to the party, such as the photographer. The buyer may initiate the transaction by simply dragging the selected photograph or photographs onto a purchase application which automatically extracts price and the token for initiating the purchase transaction. The seller can view the purchase details in the payment account.

Abstract: Systems and methods to extract and utilize textual semantics are described. The system receives item information that describes an item for sale on a network-based marketplace and analyzes the item information to generate application information that identifies a plurality of applications. The plurality of applications includes a first application that further includes the item as a first component of the first application. The system stores a listing in a database that includes the application information and the item information and publishes the listing on the network-based marketplace to sell the item via the network-based marketplace.

Abstract: In various example embodiments, a system and method for an electronic commerce file system are provided. In example embodiments, a selection of an item contained in a folder of an electronic commerce file system is received. The item is offered for sale by an electronic commerce provider, and the electronic commerce file system resides locally on a client device. Based on a type of the folder, a set of actions are provided for selection, with the set of actions to be performed with respect to the item. A selection of an action to be performed with respect to the item is received. The action is performed with respect to the item, with the action being performed between the electronic commerce file system and the electronic commerce provider via a network.

Abstract: A computer-implemented method of digital information presentation may include receiving a selection of an item reference from among digital data via a digital user interface. The method may further include receiving a request to search for information relating to the item reference. The method may include sending a request to search for the information relating to the item reference in the digital database. The method may also include receiving the information relating to the item reference. The method may further include presenting the information relating to the item reference via the digital user interface, the digital user interface including a purchase information element. The method may include facilitating a purchase of the item via the digital user interface.

Abstract: A system includes a processing apparatus and a management server. The processing apparatus includes a first transmission unit configured to transmit information about a state of a consumable item for consumption by the processing apparatus. The management server includes a first generation unit configured to generate a first screen for purchasing the consumable item based on the information transmitted from the processing apparatus about the state of the consumable item, a second transmission unit configured to transmit a request for purchasing the consumable item based on a user instruction designated on the first screen displayed on the processing apparatus, and a second generation unit configured to generate a second screen containing a payment code based on information about the payment code acquired based on the request for purchasing.

Abstract: Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness.

Abstract: This disclosure involves a using an adaptive component for customizing content delivered to customer devices. For instance, an adaptive component is configured to selectively receive information from a back-end service and present the information based on contexts of shopping experiences on particular devices. A context includes at least one of a device being a particular location or indicating a particular stage of interest in a product or service. The adaptive component includes configured parameters specifying different sets of sales information for different contexts. Different sets of context-specific sales are provided, based on different contexts, for presentation on one or more user devices via the adaptive component.

Abstract: A method for automatically updating a plurality of virtual shopping carts, includes receiving image data captured in a retail store, wherein a first shopping receptacle and a second shopping receptacle are represented in the received image data, determining that the first shopping receptacle is associated with a first virtual shopping cart and that the second shopping receptacle is associated with a second virtual shopping cart different from the first virtual shopping cart, analyzing the received image data to detect a shopper placing a first product in the first shopping receptacle and to detect the shopper placing a second product in the second shopping receptacle, automatically updating the first virtual shopping cart to include information associated with the first product, and automatically updating the second virtual shopping cart to include information associated with the second product.

Abstract: A product selecting unit extracts a candidate for recommended product on the basis of browsing information in a browsing information storing unit and unpurchased product information in an unpurchased product information storing unit. Product specifications that are information specific to each product are stored in a product information storing unit. A specification correlation calculating unit extracts a product having a product specification correlated with a product specification of the candidate for recommended product on the basis of the product specifications, and extracts the product as a recommended product.

Abstract: Novel system, methods, which include machine learning, and device for providing color and fashion recommendations, including for persons with visual impairment such as color blindness or complete blindness.

Abstract: An electronic device is provided. The electronic device includes a memory configured to store at least one first information provided from an external server in connection with operating electronic payment, a display configured to output a user interface (UI) accompanied with the electronic payment, and a processor configured to be electrically connected with the memory and the display. The processor is configured to detect at least one second information associated with an environment where the electronic device is operated, determine a product to perform the electronic payment, based on the first information and the second information, and include and output information about the product and payment information associated with payment of the product on a specified region of the UI.

Abstract: This disclosure relates generally to a system and method for creating computer-generated conversational commerce. A conversational AI interacts with a human being and guides that human being through a virtual interaction while communicating and humanizing the interaction. A user makes a request, whether through voice or through typing at the computer, and the system interprets that request while making additional, natural communications with the user, such as suggesting additional items, asking additional questions to gain more information when needed, and learning from interactions. The AI simulates a human being on the website, responding to the user, and asks for additional information, as if a user were actually at a brick-and-mortar store interacting with a salesperson.

Abstract: A method, system, and computer program product for generating a mixed reality simulation is provided. The method includes receiving permission to generate product simulations for a targeted product requested by a user. Current data and historical data associated with the targeted product is received and predicted conditions for the targeted product are generated. Multiple virtual images of the targeted product are generated based on the predicted conditions. The multiple virtual images represent an augmented reality based series of images that predict a progression of physical change over time of the targeted product resulting from exposure to environmental conditions. The multiple virtual images are presented to the user via a virtual user interface of an augmented reality hardware device.