Abstract: An online concierge system generates recipe embeddings for recipes including multiple items and user embeddings for users, with the recipe embeddings and user embeddings in a common latent space. To generate the user embeddings and the recipe embeddings, a model includes separate layers for a user model outputting user embeddings and for a recipe model outputting recipe embeddings. When training the model, a weight matrix generates a predicted dietary preference type for a user embedding and for a recipe embedding and adjusts the user model or the recipe model based on differences between the predicted dietary preference type and a dietary preference type applied to the user embedding and to the recipe embedding. Additionally cross-modal layers generate a predicted user embedding from a recipe embedding and generate a predicted recipe embedding from a user embedding that are used to further refine the user model and the recipe model.

Abstract: Systems and methods for integrated retail and ecommerce shopping platforms. A shopping system for selling products including: a shopping facility including a primary product storage area; at least one showroom; at least one delivery location; a transport system for moving products between locations within the primary product storage area, the at least one showroom and the at least one delivery location; an inventory control system; a network server in operational communication with the inventory control system and the transport system, the network server adapted to transmit interactive shopping interface pages over a network; and a customer client device associated with one of the customers adapted to receive and display the interactive shopping interface pages, for selectively displaying product information about the products sold by the shopping system, and receiving customer input regarding the selecting and deselecting of one or more of the products for possible purchase by the customer.

Abstract: A product/service recommendation expert system including a server; at least one consumer computer that is linked, via a distributed network, to the server; and at least one management computer that is linked, via a distributed network, to the server; wherein the server includes at least some of a product/service profile database for storing and/or updating product/service information for a plurality of products/services, a criteria database for storing and/or updating evaluation criteria by which a product/service is evaluated, and at least one first consumer profile database for storing and/or updating consumer profile information for a plurality of consumers; and at least one second consumer profile database, wherein the second consumer profile database contains at least some previously stored, supplemental consumer profile information, wherein the supplemental consumer profile information includes at least some consumer profile information that is different from the consumer profile information in the firs

Abstract: A merchandise specification system has: a keystone correction processing unit that performs a keystone correction process on photographed image information obtained by photographing the display shelf to generate front-facing image information; and a merchandise identification information specification processing unit that specifies merchandise on a face in the front-facing image information.

Abstract: Embodiments include methods and systems to remotely and electronically enhance measurement accuracy and speed of electronic brassiere fitting data. A method according to an embodiment can include receiving a set of current user brassiere data from a remote user computing device, receiving a set of physiological images from the remote user computing device, and receiving brassiere fitting data from one or more data sources. The method can further include filtering the brassiere fitting data responsive to the set of current user brassiere data, and generating a first brassiere size responsive to filtering the brassiere fitting data. The method can further include modifying the first brassiere size responsive to the set of physiological images, and generating a recommended brassiere size responsive to modifying the first brassiere size.

Abstract: Disclosed herein is a web service system and method comprising a determine best result engine useful for presenting intelligent objective decisions for at least one scenario for at least one collection of criteria across many different industries and market segments including but not limited to healthcare, manufacturing, and financial services. In some forms, the web service system also or alternatively provides automatic configuration of at least one of an array of items and services and results that a customer/user requires in preparation of completing a task. The web service system can utilize a plurality of knowledge data engines to capture and analyze information of a predetermined type to produce knowledge data for consideration by the determine best result engine.

Abstract: Systems and methods for integrated retail and ecommerce shopping platforms. A shopping system for selling products including: a shopping facility including a primary product storage area; at least one showroom; at least one delivery location; a transport system for moving products between locations within the primary product storage area, the at least one showroom and the at least one delivery location; an inventory control system; a network server in operational communication with the inventory control system and the transport system, the network server adapted to transmit interactive shopping interface pages over a network; and a customer client device associated with one of the customers adapted to receive and display the interactive shopping interface pages, for selectively displaying product information about the products sold by the shopping system, and receiving customer input regarding the selecting and deselecting of one or more of the products for possible purchase by the customer.

Abstract: This disclosure describes techniques for utilizing sensor data to automatically determine the results of events within a system, as well as utilizing associate applications of human associates to supplement the sensor data. Upon receiving sensor data indicative of an event, the techniques may analyze the sensor data to determine a result of the event, such as that a particular user associated with a user identifier selected a particular item associated with an item identifier. Contents of a virtual shopping cart of the user may be maintained based on this automated analysis of sensor data. In addition, a human associate may interact with the particular user to further modify the virtual shopping cart.

Abstract: Systems and methods for providing a recommendation are disclosed. A method includes: presenting a first question via a user interface; receiving a response to the first question via the user interface; determining a second question using the received response to the first question and a weighted collection of attributes corresponding to a plurality of items; presenting the determined second question via the user interface; receiving a response to the second question via the user interface; determining at least one recommended item from the plurality of items based on the response to the first question, the response to the second question, and the weighted collection of attributes corresponding to the plurality of items; and presenting the determined at least one recommended item via the user interface.

Abstract: Embodiments of the present disclosure provide systems, methods, and devices for utilizing an application to alert a user to detected changes to inventory data. Example embodiments relate to a predictive model and development of a predictive model using machine learning techniques. Example embodiments of systems and methods may utilize web-based applications and plug-ins, extensions, or add-ons thereof for facilitating communication and presenting dynamic information to a user.

Abstract: A network-based enterprise or other system that makes items available for selection to users may implement selecting user interface elements for inclusion with a search result according to item category features of prior item selections. A search request for an item may be received. An item category for the item may be identified and a user interface element type selection model for the item category may be accessed to select of user interface element types for inclusion in a display of a search result in response to the search request. The user interface element type selection model for the item category may be generated based on features of previous item selections in the identified item category. Content for the selected user interface elements may be determined and a display of the search result may be provided that includes user interface elements generated according to the selected type and identified content may be included.

Abstract: Methods, systems, and computer program products in connection with a system for bidding on multi-modal sub-spaces for e-commerce searches is provided herein. A computer-implemented method includes representing, in an embedding space affiliated with at least one electronic commerce website: (i) images related to one or more bids and (ii) items of text related to the one or more bids, the images and the items of text both coming from one or more bidding entities. Such a method also includes mapping a query to the embedding space based on a comparison of features of the query to (i) the images and (ii) the items of text. Further, such a method additionally includes selecting at least one of the one or more bidding entities based on the mapping, and outputting, to at least one user in response to the query, search results associated with the at least one selected bidding entity.

Abstract: Embodiments of the present disclosure provide a recommendation system based on a user's physical/biometric features. In various embodiments, a system includes a processor configured to determine a physical characteristic of a user based at least in part on an image of the user. The processor is further configured to determine a correlation between the physical characteristic and a product, and generate a product recommendation based at least in part on the determined correlation.

Abstract: Embodiments provide a recommendation for an additional item in response to receiving a basket of goods determine a type for the basket of goods from a set of basket types, receive a set of additional targeted items as target recommendations and receive a history of received types of baskets of goods. Embodiments iteratively perform a clustering into a plurality of clusters of each of the basket types based on the history of received types of baskets of goods, and preference updating for each of the targeted items into each of the plurality of clusters. The iteratively performing, after a plurality of iterations, outputs a sequence of mappings and a sequence of preference parameters. Embodiments generate a frequency of tabulation of mappings from the sequence of mappings and then generate the recommendation based on the sequence of mappings, the sequence of preference parameters and the frequency of tabulation of mappings.

Abstract: Techniques described herein include systems and methods for throttling requests for content to reduce stress on a check out pipeline associated with an electronic marketplace thereby avoiding overstressing a server to the point of no longer processing requests from users. In embodiments, first information may be maintained that identifies a ranking for a plurality of items based on a score. A predicted velocity of content requests about the plurality of items may be maintained and second information about an actual velocity of content requests about the plurality of items may be received. In response to a request for content, a portion of items may be identified based on the scores associated with said portion and partition the portion into a number of groups or partitions based on the predicted velocity and the second information. A data object that comprises the portion of items associated with a partition may be generated.

Abstract: A client device retrieves a retail page listing products for sale by an online retailer. The client device receives a selection of a product from a user and displays extended information about the product in an extended product page near the product. The extended information includes a template with images of the product and advertising copy for the product to provide a compelling, magazine-like view of the product. The user may add the product to a bag that provides a staging area for a group of products prior to purchase. The user may visit additional retailers and add products from those retailers to the bag that provides a unified view of the products from across the various retailers. When a user is ready to purchase the products in the bag, a purchase flow is initiated at each online retailer for the products at that retailer.

Abstract: Order determination technologies for unmanned store are disclosed. In an implementation, registration information including a container identifier (ID) associated with a shopping container is received from a mobile device of a customer shopping at a store. A user account of the customer is associated with the container ID based on the registration information. A radio frequency (RF) signal from an RF tag attached to the shopping container is detected. A plurality of RF signals are received from a plurality of RF tags are attached to a plurality of corresponding items in the store. One or more items of the plurality of items are determined within a predetermined distance from the shopping container based on the RF signals. An order including the determined one or more items is generated, and the order is associated to the customer's user account to be paid by the customer.

Abstract: A method for providing recommendations to users includes obtaining stored data structure triples and actual ratings associated with the data structure triples; training a machine learning model using the stored data structure triples and associated actual ratings, wherein training the machine learning model includes generating user, product, and review representations based on the stored data structure triples and their associated ratings; predicting, by the machine learning model, ratings using the generated user, product, and review representations; and making recommendations based on the predicted ratings.

Abstract: Systems, methods, and media for translating requests to acquire or change goods and services by receiving a request in a service catalog. The received request is received in a format that is not suitable for a target vendor. The received request is then translated into a format suitable for the target vendor. The translated received request is then transmitted to the vendor using the translated format.

Abstract: A computer-implemented method for searching information and an electronic device are disclosed. The method includes: receiving, at one or more computing devices, a search term; acquiring, at the one or more computing devices, a 3D search result corresponding to the search term if the search term includes a 3D search requirement, in which the 3D search result includes a 3D picture and one or more service items corresponding to the 3D picture; displaying, at the one or more computing devices, the 3D search result; determining, at the one or more computing devices, a service item selected by a user; and processing, at the one or more computing devices, the 3D picture according to the service item. The method can provide a service on the basis of the 3D search result when the user has the 3D search requirement, thereby better satisfying the user' requirement and improving the user experience.