Abstract: The present technology generally relates to online donations, and more particularly, to a method and apparatus for facilitating online vehicle donations.

Abstract: A flexible annotation framework normalizes auxiliary information from diverse sources, ranks the information for an individual search result, and provides a lightweight or full display of the auxiliary information in an annotation for the search result. An annotation thus displays information not typically part of the details included in the search result. An example method comprises, for at least one item in a search result page, identifying at least one annotation of a first annotation type in an annotation data store that references the item, identifying at least one annotation for a second annotation type in an annotation data store that references the item, ranking the annotation of the first annotation type and the annotation of the second annotation type and providing the highest ranked annotation as part of a search result for the item in the search result page.

Abstract: A digital human display assembly can include a rectangular display panel enclosed within a frame, the rectangular display panel capable of visually rendering a digital human during an interactive dialogue between the digital human and a user. The digital human display assembly also can include a glass covering enclosed within the frame and extending over a front side of the rectangular display panel. A base can support the frame in an upright position. A light emitting diode (LED) arrangement can be positioned on one or more outer portions of the frame.

Abstract: Devices and techniques are generally described for providing a graphical user interface. In some examples, first image data may be sent to a computing device, that when rendered is effective to display a first combination of items disposed together in a first environment and a first selectable control. In some examples, first data may be received indicating a selection of the first selectable control. In various examples, a first computing device may determine first feature data representing the first image data. In some examples, the first computing device may determine second image data using the first feature data. In some examples, the second image data may be sent to a second computing device. The second image data, when rendered, may be effective to display a second combination of items disposed together in a second environment.

Abstract: Methods, systems, and apparatuses for providing improved management of hospital information systems are provided. An example of a method for providing improved management of a hospital information system includes providing an interface for electronic entry of a set of request parameters, the request parameters comprising at least one product identifier for a product to be purchased by a healthcare organization and at least one change to a healthcare information system related to the at least one product, receiving the set of electronic request parameters, generating, via the request management circuitry, an action plan defining at least one action for implementation of the at least one change to the healthcare information system, monitoring, via the request management circuitry, for completion of the at least one action, and in response to detection of completion of the at least one action, implementing the at least one change to the healthcare information system.

Abstract: Systems and methods are described for objectively determining the shape category of a human figure using a vertical visual frame of comparative reference. A geometric guideline is provided as an overlay that is applied to an image of a human body whereby the body is categorized into a shape cohort (type). The shape categories can be used for various purposes, such as recommending and fitting apparel for online purchases.

Abstract: This disclosure includes systems and methods for providing purchase recommendations to a user that may include items frequently purchased with a product selected by the user. The determination of which items are frequently purchased with which other items may account for both online and in-store transactions and may further account for both pairwise and multi-wise relationships. The recommendations may be provided on an electronic user interface, such as a website, in response to the user's selection of the product through the electronic user interface. The recommendations may be tailored to the user's selected product so that the recommended items are available in the same delivery channel as the user-selected product.

Abstract: A method and apparatus for a commerce platform coordinating a purchase of a product sold by a merchant system through a third party application are described. The method may include receiving a notification from the third party application requesting to purchase a product from within the third party application, wherein the notification comprises an identifier for the product and an identifier for the merchant system that sells the product. The method may also include a product checkout interface having an appearance consistent with an appearance of a user interface of the third party application, and transmitting the product checkout interface generated by the commerce platform to a user device executing the third party application causing the third party application to render the product checkout interface within at least a portion of the user interface of the third party application.

Abstract: A computer system and method for transacting business over the Internet relating to vehicle purchasing. A first computer data base is provided having information regarding vehicles for sale wherein each vehicle has associated vehicle data parameters and a second computer data base is provided having information regarding a user wherein each user has associated user data parameters. A vehicle purchase server is provided that includes application software including a routine permitting the selection of specific vehicle data parameters from the first data base contingent upon user data parameters contained in the second data base based upon inquiries from a user regarding a vehicle description. Vehicle matching results including one or more vehicles recommended for the user are presented via a GUI accessible by the user.

Abstract: Systems and methods of assisting in an electronic shopping experience are disclosed. A request may be received, from a user on a device having a user interface, to search for an item listed for sale in a marketplace. A balance amount of an account associated with or available to the user at the marketplace is displayed in the user interface. The search results are limited to at least one item having a sales price less than the displayed balance amount and the at least one item is displayed in the user interface. The account may be a user account at a payment service provider.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for integrating a monitoring system with one or more air quality sensors. The method includes receiving data indicating a level of volatile organic compounds within an area, determining an increase in the level of volatile organic compounds within the area, receiving video data that shows the area, detecting, from the video data, a new item of furniture within the area, sending a notification that indicates an increase in the level of volatile organic compounds is likely caused by the new item of furniture.

Abstract: An attachment provision control device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations include: acquiring information related to a purchased product and at least one of a purchase quantity and a purchase amount of the purchased product; determining at least one of a number and an amount of attachments to be attached to the purchased product based on the information related to the purchased product and at least one of the purchase quantity and the purchase amount of the purchased product; and transmitting an instruction to provide at least one of the determined number of attachments or the determined amount of attachments to an attachment provision device.

Abstract: A method and a system for recommending items in an online listing platform are provided. The method comprises: receiving, from an electronic device, a request for item recommendations triggered by the user having interacted with a given item of the online listing platform; identifying, in the plurality of items, based on the given item, a set of recommendable items; obtaining user data of the user; determining, based on the user data, for a given recommendable item, a respective value of a user-specific ranking parameter, which is indicative of a likelihood value of the user perceiving the given recommendable item as being of interest to the user; ranking the set of recommendable items according to respective values of the user-specific ranking parameter, thereby generating a ranked set of recommendable items; and selecting, from the ranked set of recommendable items, at least one recommendable for presentation thereof to the user.

Abstract: A system includes location indicators, a central computing system, and a mobile scanning device. The location indicators transmit location signals and are arranged in a store that includes stocked items. The central computing system stores an item association table that maps location values to the stocked items. The location values indicate locations of the stocked items in the store. The mobile scanning device receives ordered items from the central computing system, detects location signal(s), and determines a first location value based on the detected location signal(s). The mobile scanning device arranges the ordered items on a display based on the first location value, scans a first ordered item, and transmits data to the central computing system indicating that the first ordered item is associated with the first location value. The central computing system updates the item association table based on the data.

Abstract: The present disclosure relates to a method, apparatus, medium and electronic device for configuring a gift list in a live broadcast room, comprising: receiving a gift list request sent by a client terminal, the gift list request including a room number of a live broadcast room where a user logging into the client terminal is located; determining a region where a host in the live broadcast room is located when broadcasting according to the room number of the live broadcast room; determining targeting gift list information corresponding to the region; and sending the targeting gift list information to the client terminal in response to the gift list request.

Abstract: Aspects of the present disclosure involve a system for providing AR experiences. The system accesses, by a messaging application, an image depicting a real-world fashion item of a user and generates a three-dimensional (3D) virtual fashion item based on the real-world fashion item depicted in the image. The system stores the 3D virtual fashion item in a database that includes a virtual wardrobe comprising a plurality of 3D virtual fashion items associated with the user. The system generates, by the messaging application, an augmented reality (AR) experience that allows the user to interact with the virtual wardrobe.

Abstract: Described herein is a system and computer implemented method for finding similars for a selected clothing image amongst a set of clothing images in an electronic catalog in an online store serving online customers. An object detection model is applied to extract the clothing section within the clothing images to create a preprocessed image. A first machine learning model is applied on the preprocessed image(s) to convert the colors and textures of said preprocessed image into a first set of vector representations. A second machine learning model is applied on the preprocessed image(s) to convert the shapes of said preprocessed image into a second set of vector representations. Operations of mapping nearest vectors, matching attributes, sorting and ranking are performed, and thereafter similar images are displayed to the online customer.

Abstract: A method, computer system, and a computer program product for cultivation feedback is provided. The present invention may include performing one or more parameter readings of one or more consumer products and storing the one or more parameter readings on a blockchain. The present invention may include determining a correlation between the one or more parameter readings and the one or more properties of the one or more consumer products. The present invention may include receiving feedback on the one or more consumer products from one or more users. The present invention may include providing one or more recommendations based on the feedback received.

Abstract: A vehicle including an intelligent driving control module is provided. The intelligent driving control module is connected to each system in the vehicle through a security gateway of the vehicle, and the intelligent driving control module has an open application programming interface (API). The open API is a data interface for a third-party developer to perform secondary development. After the third-party developer performs secondary development on the vehicle by using the open API, the intelligent driving control module obtains state data of the vehicle through the security gateway and intelligently controls the vehicle according to the state data.

Abstract: A prediction system of an online system deploys one or more machine-learned architectures to generate predictions. In one embodiment, the machine-learned architecture is a stacked ensemble model. The stacked ensemble model includes a plurality of base models, where a base model is coupled to receive input data and generate a base prediction for the input data. The stacked ensemble model includes a meta model that combines the base predictions to generate a meta prediction for the input data. The prediction system also generates a reliability measure that takes advantage of the base predictions to evaluate the reliability of the meta prediction. In this manner, while the quality of individual predictions may differ from one another depending on the values of the input data, the prediction system can dynamically generate the reliability measure to account for this variation.

Abstract: An system and a method for scoring products viewed by a user prior to making a purchase decision and also identify the products considered most before ultimately purchasing. The system uses sensors placed on the shelves to identify the item viewed before making a purchase decision and also track the time spent per decision. The tracking will allow viewed and ultimately bought scores and item similarity scores to be determined. The scores in conjunction with point-of-sale terminal data to identify times determinative of users' interest levels prior to a purchase. The system predicatively replenishes inventory of high interest items based on historical patterns of interest and historical point-of-sale terminal data.

Abstract: Use of an artificial intelligence engine to provide skin care treatment is disclosed.

Abstract: Systems, devices, and methods are provided for training and/or inferencing using a list ordering model. A list ordering model, such as a Markov chain, may be trained using a plurality of lists with location metadata in common, wherein a first list of the plurality comprises items and corresponding competition timestamps. A list ordering model may accept, as an input, a plurality of items, and determine, as an output, an order for the plurality of items. Recommendations may be generated based on the determined order.

Abstract: Recommendations for in-game content are provided to players of an online game. An instance of a virtual space is executed in which an online game is conducted and implemented to facilitate presentation of a view of the virtual space to users through client computing platforms associated with the users. Device specification sets of the client computing devices are determined and recommendations for in-game content are presented to the users based on the obtained device specification sets of the client computing devices associated with the users.

Abstract: This disclosure relates generally to method and system for handling popularity bias in item recommendations. In an embodiment the method includes initializing an item embedding look-up matrix corresponding to items in a sequence of item-clicks with respect to a training data. L2 norm is applied to the item embedding look-up matrix to learn a normalized item embeddings. Using a neural network, a session embeddings corresponding to the sequences of item-clicks is modeled and L2 norm is applied to the session embeddings to obtain a normalized session embeddings. Relevance scores corresponding to each of the plurality of items are obtained based on similarity between the normalized item embeddings and the normalized session embeddings. A multi-dimensional probability vector corresponding to the relevance scores for the items to be clicked in the sequence is obtained. A list of the items ordered based on the multi-dimensional probability vector is provided as recommendation.

Abstract: A webpage serving system is provided and generally includes a server and a computing device. The server may receive a webpage data request for a webpage from the computing device. In response, the server may transmit data identifying a webpage that allows a plurality of items to be added to an online shopping cart in one transaction. The data may include a document, such as an HTML document, based on the type of webpage requested. The document may include instructions to download a particular bundle from a server. The server may also receive a request from the computing device to add at least one item of the plurality of items to the online shopping cart. In response, the server may add the requested item to the online shopping cart. The server may also transmit data confirming that the requested item was added to the online shopping cart.

Abstract: A collection bundle purchase device includes: at least one processor, wherein the at least one processor displays a collection included in a collection menu based on a user input, and purchases the collection as a bundle based on the user input for the collection.

Abstract: A method and a system for recommending items in an online listing platform are provided. The method comprises: receiving, from an electronic device, a request for item recommendations triggered by the user having interacted with a given item of the online listing platform; identifying, in the plurality of items, based on the given item, a set of recommendable items; obtaining user data of the user; determining, based on the user data, for a given recommendable item, a respective value of a user-specific ranking parameter, which is indicative of a likelihood value of the user perceiving the given recommendable item as being of interest to the user; ranking the set of recommendable items according to respective values of the user-specific ranking parameter, thereby generating a ranked set of recommendable items; and selecting, from the ranked set of recommendable items, at least one recommendable for presentation thereof to the user.

Abstract: A user preference modeling method including receiving preference scores corresponding to items, receiving an input for selecting an item from among the items, decaying a preference score corresponding to one or more items from among the items included in a first list and a second list based on a time decay rate and a first parameter, in response to the selected item being included in the first list, decaying the preference score corresponding to the one or more items comp included in the first list and the second list based on a time decay rate and a second parameter, in response to the selected item being included in the second list, and increasing a preference score corresponding to the selected item, wherein the first list may include one or more of the plurality of items based on the preference scores, and wherein the first list is different from the second list.

Abstract: An online concierge system modifies generic item descriptions included in a recipe displayed to a user based on the user's preferences. The online concierge system generates a replacement graph identifying a replacement generic item description for a generic item description, one or more preferences causing replacement of the generic item description with the replacement generic item description, and a replacement quantity of the replacement generic item description. To customize a recipe for the user, the online concierge system selects replacement generic item descriptions for one or more generic item descriptions in the recipe satisfying one or more stored preferences for the user based on the replacement graph.

Abstract: Methods for generating a health management template for a patient condition including retrieving a healthcare template It corresponding to a patient condition, the healthcare template comprising a plurality of data fields, populating the data fields with patient data; and generating an updated healthcare template based on a user input, wherein the user input comprises at least one of a search request or a data option selection are disclosed. Systems are also disclosed.

Abstract: Provided is a method of providing information using a trained model through machine learning, which may include checking a first set of character strings including a plurality of character strings representing pieces of information about a plurality of items related to a trained model creation, creating at least one trained model on the basis of the first set of character strings, checking a second set of character strings including a plurality of character strings representing pieces of information about a plurality of items related to an information classification object, and checking reference product name information and attribute information for each of at least a portion of the second set of character strings using the at least one trained model.

Abstract: A violation inspection system based on visual sensing of a self-driving vehicle and a method thereof are disclosed. The violation inspection system receives traffic images captured by the self-driving vehicle, identifies image objects by artificial intelligence, continuously detects a movement status of each of the image objects, to generate image object dynamics; when the image object matches one of a trigger object factor and an association object factor, the image object and the image object dynamics thereof are inputted to an AI-based situation recognition model, to output a current situation, and when the current situation matches a violation situation template, the image objects corresponding to the trigger object factor and the association object factor corresponding to the violation situation template, and a violation item are outputted, so as to achieve the technical effect of improving accuracy and diversity in violation behavior determination.

Abstract: A payment service provider device determines that a first geolocation of a user device is within a predetermined proximity to a second geolocation associated with a merchant Point-Of-Sale (POS) device that is coupled to a network and provides, via the network to the merchant POS device, a communication that includes a user identifier associated with a user of the user device, such that the communication causes the user identifier to be displayed on a display device associated with the merchant POS device and the user is checked-in at a merchant location associated with the merchant POS and the second geolocation. The payment service provider device receives, via the network, a payment request that is associated with the user identifier, and then completes the payment request using a user account associated with the user identifier.

Abstract: The present invention is a computer implemented method for determining and conforming the position of plumbing systems within a building, comprising: analyzing a model, wherein the model is comprised of a plurality of members; identifying an plumbing system, wherein the plumbing system is integrated into the model and is comprised of a series of components; identifying where the plumbing system interfaces with the plurality of members; isolating, by one or more processor, the group of members which interface with the plumbing system; calculating, by one or more processor, a set of actual values associated with the interfaces between the plumbing system and the group of members; comparing the actual values to a required value, and determining if the actual value is within a predetermined range of the required value; and generating a list of interfaces which the actual value it outside the predetermined range of the actual values.

Abstract: Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as “The Avengers,” and when another user visits New York City, the system may then notify the user that the movie, such as “The Avengers,” is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

Abstract: A system and method arranged to predict a match state event by a machine learning platform. The system and method including monitoring, by the machine learning platform, multimedia content on a live data feed, receiving, by the machine learning platform, current match state data corresponding to the multimedia content, and predicting, by the machine learning platform, an anomaly in the multimedia content based on an analysis of received multimedia content and current match state data. The system and method can include generating, by the machine learning platform, a confidence score regarding a likelihood of the anomaly in the multimedia content, and resolving, by the machine learning platform, the anomaly based on the confidence score. Resolving the anomaly includes extracting a portion of the multimedia content containing the anomaly, ignoring the anomaly, or correcting the anomaly.

Abstract: Computer-implemented methods and systems include determining vehicle grades for a user by accessing a plurality of user platforms, identifying user-related content linked to the user via the user platforms, extracting user attributes based on the user-related content, applying weights to vehicle attributes in a vehicle recommendation engine, based on the extracted user attributes, generating the vehicle grades based on the weights, and providing the vehicle grades to the user via a vehicle grading platform.

Abstract: Based on a detection that a customer has arrived at an enterprise location to pick up a previously-placed order, an intelligent automated customer dialogue system generates an interface via which an intelligent customer dialogue application dialogues with the customer. The application generates and initially offers, at the interface using natural language, content which is contextual to one or more items of the order, e.g., by using a specially trained intelligent dialogue machine learning model. The application may intelligently respond to the customer's natural language responses and/or requests to refine, augment, or redirect subsequently-offered content and/or dialogue, e.g., by using the model. Offered content (e.g., product information, services, coupons, suggestions, recommendations, etc.) generally provides value-add to the customer as well as maintains customer engagement.

Abstract: An ordering system described herein can include a rapid reorder of items without needing to re-add the individual items into a shopping cart. The rapid reorder may be triggered via a 3D touch or a long press on a mobile device. The ordering system can also provide an architecture that can allow a user to modify an order, such as, e.g., the pickup time or store location, after the order has been submitted.

Abstract: A system for scheduling alimentary combinations includes a computing device configured to provide an alimentary instruction set including a plurality of target nutrient quantities corresponding to a plurality of scheduled meals, determine a per-meal alimentary instruction set as a function of the plurality of target nutrient quantities, receive, from each alimentary provider device of a plurality of alimentary provider devices, a plurality of provider ingredient combinations, generate a ranked list of ingredient combinations as a function of the plurality of provider ingredient combinations, receive a user selection of a provider ingredient combination corresponding to a meal of the plurality of scheduled meals, and generate a modified ranked list of ingredient combinations as a function of the user selection and the alimentary instruction set.

Abstract: Systems, methods and computer readable medium are provided for receiving a first set of recommendations of computer applications from a recommendations engine having an input layer, at least one hidden layer and an output layer, the recommendations generated based on a set of input features characterizing an entity; identifying a commonality among at least some recommendations for defining a priority trait for the entity; associating the priority trait with at least one priority feature from the set of input features; generating a modification for modifying at least one of: the set of input features provided as input to the recommendations engine to emphasize those features associated with the priority feature, or at least one weight of the hidden layer in the recommendations engine to bias selection of the priority feature; providing the modification to the recommendations engine to generate a second set of recommendations for display on a computing device.

Abstract: Systems and methods are provided for generating and presenting content series recommendations to a particular user that has just completed binge-watching a particular content series. The recommendations are based on content series consumed by other users who have also consumed the content series just completed by the user and that share behavioral attributes to that of the user.

Abstract: The present disclosure is related to object recognition and tracking using multi-camera driven machine vision. In one aspect, a method includes capturing, via a multi-camera system, a plurality of images of a user, each of the plurality of images representing the user from a unique angle; identifying, using the plurality of images, the user; detecting, throughout a facility, an item selected by the user; creating a visual model of the item to track movement of the item throughout the facility; determining, using the visual model, whether the item is selected for purchase; and detecting that the user is leaving the facility; and processing a transaction for the item when the item is selected for purchase and when the user has left the facility.

Abstract: In various example embodiments, a system and method for using camera metadata for making recommendations are presented. At least one image file having camera metadata is received. The camera metadata of the at least one image file is analyzed to determine improvements to image capture aspects associated with the at least one image file. Feedback related to the improvements to the image capture aspects associated with the at least one image file is generated. In some embodiments, the feedback may be used to generate camera and other product upgrade recommendations.

Abstract: Resource metrics are obtained for resources from distributed resources associated with operations of an enterprise. Metric types from the distributed resources defined in the metrics are grouped and aggregated into aggregated metric types within a data model. Each aggregated metric type data value of the data model is weighed. The weighted aggregated data values are used to calculate an overall service health value of the enterprise. A current instance of the data model is processed to render one or more single views within an interface to a user of the enterprise. Each single view includes the overall service health value along with a custom-level of detail for each aggregated metric type and the corresponding aggregated metric data values.

Abstract: A profile is maintained in a mobile device for storing authentication data associated with a primary user of a mobile device, and at least one secondary user that is authorized to use the mobile device. When the mobile device is at a business location, the secondary user is passively authenticated, and upon successful authentication: an image is displayed over a default lock screen wallpaper when the mobile device is in a screen locked state, wherein the image contains a scanning code, and a financial transaction is facilitated at the business location based on the scanning code without unlocking the mobile device, wherein the financial transaction associated with a financial account of the primary user. Power is conserved in the mobile device by not unlocking it at the business location to conduct the financial transaction.

Abstract: A computer-implemented method for providing merchant recommendations comprises receiving, by a processor, raw merchant embeddings generated from payment transaction records, wherein the raw merchant embeddings include a plurality of embedded features entangled in an embedding space. The processor uses transaction metadata associated with the payment transaction records to determine a subspace of an identified feature within the embedding space. A linear transformation process then removes the subspace of the identified feature from the embedding space to create modified merchant embeddings that are merged and aligned with other ones of the plurality of features within the embedding space. The processor automatically generates a list of merchant rankings based on the modified merchant embeddings, past preferences of a target user using raw user embeddings, and a target region, and provides the list of merchant rankings to the target user.

Abstract: Methods and systems disclosed herein relate generally to systems and methods for generating simulated images for enhancing socio-demographic diversity. An image-generating application receives a request that includes a set of target socio-demographic attributes. The set of target socio-demographic attributes can define a gender, age, and/or race of a subject that are non-stereotypical for a particular occupation. The image-generating application applies the a machine-learning model to the set of target socio-demographic attributes. The machine-learning model generates a simulated image depicts a subject having visual characteristics that are defined by the set of target socio-demographic attributes.

Abstract: 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.