Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.

Abstract: In some examples, a server may receive an utterance from a customer. The utterance may be included in a conversation between the artificial intelligence engine and the customer. The server may convert the utterance to text and determine a customer intent based on the text and a user history. The server may determine a user model of the customer based on the text and the customer intent. The server may update a conversation state associated with the conversation based on the customer intent and the user model. The server may determine a user state based on the user model and the conversation state. The server may select, using a reinforcement learning based module, a particular action from a set of actions, the particular action including a response and provide the response to the customer.

Abstract: In some examples, a server may receive, by a menu manager executing on the server, a menu having a particular format from a point-of-sale (POS) terminal and parse the menu to create a parsed menu. The menu is parsed using POS data indicating a formatting of the menu. The server automatically converts the parsed menu into multiple menu items, stores the multiple menu items in a menu item database, and creates a mapping database that includes pricing data, pronunciation data, and voice tags associated with individual menu items of the multiple menu items. The server provides multiple software agents access to the mapping database and instructs individual software agents of the one or more software agents to initiate a conversation with a customer to receive a voice-based order. The individual software agents comprise an instance of an artificial intelligence engine.

Abstract: In some examples, a software agent executing on a server an utterance from a customer. The software agent converts the utterance to text. The software agent creates an audio representation of the text and performs a comparison of the audio representation and the utterance. The software agent creates edited text based on the comparison. For example, the software agent may determine, based on the comparison, audio differences between the audio representation and the utterance, create a sequence of edit actions based on the audio differences, and apply the sequence of edit actions to the text to create the edited text. The software agent outputs the edited text as a dialog response to the utterance.

Abstract: In some examples, a software agent executing on a server receives a communication comprising a first utterance from a customer and predicts, using an intent classifier, a first intent of the first utterance. Based on determining that the first intent is order-related, the software agent predicts, using a dish classifier, a cart delta vector based at least in part on the first utterance and modifies a cart associated with the customer based on the cart delta vector. The software agent predicts, using a dialog model, a first dialog response based at least in part on the first utterance and provides the first dialog response to the customer using a text-to-speech converter.

Abstract: In some aspects, an order post detects, using one or more sensors, a presence of a customer, determines an identity of the customer, retrieves previous orders of the customer, indicates at least one item in the previous orders, receives an order comprising input that includes an utterance of the customer, modifies the utterance to create a modified utterance, sends the modified utterance to a software agent comprising a natural language processor and one or more classifiers, receives a predicted response to the modified utterance from the software agent, plays back the predicted response via the speaker, determines that the order is complete, receives payment information for the order from the customer, sends order data associated with the order to a restaurant, receives an indication from the restaurant that the order is ready for pickup, and instructs the customer to pick up the order.

Abstract: A computer system may connect to various customer-facing devices and manage or automate the order process between a retail store and the customer. The computer system may perform the dialogue and receive an order for items from the retail store and may perform quality control monitoring of the dialogue between customers and employees taking orders. The ordering system may utilize the ordered items in combination with various contextual cues to determine a customer identity which may then be linked to past orders and/or various order preferences. Based on the determined customer identity, the system may provide recommendations of additional order items or order alterations to the customer before personally identifying information has been collected from the customer. The determination of the customer identity and the determination of recommendations may be performed by machine learning algorithms that were trained on customer data and the retail store products.

Abstract: A novel architecture of connections and Graphical User Interfaces (GUIs) is used to facilitate extracting a client business's data that is stored in some locations, and copying it to other locations for further processing according to digital rules.

Abstract: An Online Software Platform (OSP) may receive a first dataset from a remote client device, and compute an estimated resource, from the first dataset and also per stored digital rules. The OSP may then communicate an aspect of the resource to the remote client device and receive a confirmation of the first dataset. The OSP may then process the first dataset, for matching it with another dataset, either internally or by outsourcing. Either way, the OSP may establish that the first dataset has been matched with a compatible second dataset. The OSP may then input a resource for the first dataset, which is determined according to stored digital rules. The OSP may further create one or more notifications and documents about the matching and the resource, and make them available to the remote client device or even to the device of another remote entity.

Abstract: There is provided an electronic device for managing functionality of applications. The device including a processor which detects an input with respect to a graphical element displayed on a display of the electronic device, the graphical element representing a first application, generates at least one sub-graphical element from the graphical element, the at least one sub-graphical element representing a functional data item associated with the first application and controls the display to display the at least one sub-graphical element.

Abstract: An immersive device and method for streaming of immersive media are provided. The method includes receiving body motion coordinates of a user in each of three dimensions and determining deviation in the body motion by a first immersive device. A dominant direction of motion based on the deviation calculated is then determined. A request by the first immersive device for at least one media frame to be displayed is received by a second immersive device. The received request is processed by the second immersive device and the media frame to be displayed is segmented into a plurality of tiles by the second immersive device. One tile with the first pixel density and a remainder of the tiles of the plurality of tiles with a second pixel density are stitched by the second immersive device to render one immersive media frame which is displayed to the user.

Abstract: Provided are a method and an apparatus for managing immersive data in an immersive system. The method includes: generating a truncated three-dimensional (3D) geometry including a truncated plane corresponding to a field of view (FOV) of a user, obtaining the immersive data comprising a plurality of frames based on the FOV of the user, mapping a frame from among the plurality of frames onto the truncated plane formed according to the FOV of the user, and projecting the frame onto the FOV of the user.

Abstract: A method for launching an application in an electronic device is provided. The method includes displaying an first application icon corresponding to an first application on the electronic device; detecting a first input performed on the displayed first application icon; and performing an action corresponding to the first input, in response to detecting the first input, and wherein the action corresponding to the first input comprises visually changing the first application icon.

Abstract: Provided are a method and an apparatus for managing immersive data in an immersive system. The method includes: generating a truncated three-dimensional (3D) geometry including a truncated plane corresponding to a field of view (FOV) of a user, obtaining the immersive data comprising a plurality of frames based on the FOV of the user, mapping a frame from among the plurality of frames onto the truncated plane formed according to the FOV of the user, and projecting the frame onto the FOV of the user.

Abstract: Example methods and systems are directed to measuring labor market friction using social networking member information as a proxy for nationwide labor statistics. As nationwide labor statistics are often generic, the social networking member information can serve as a way to more granularly identify where labor market frictions are occurring across communities and/or industries. A user selects one or more labor pool criterion for selecting job postings of a social networking service to be included in the desired labor market. The labor pool criterion are also used to select potential members of the social networking service to be included in the desired labor market. Various comparisons are then made to match the member profiles of the potential members with the selected job postings to determine vacancy rates and potential job seekers. These values are then used to highlight geographic regions where there may be labor market friction.

Abstract: A referral system is provided with an on-line social network system. The referral system selects a set of (connected profile, job posting) pairs for presentation to a member of the on-line social network system who is an employee of a particular target organization, based on each pair's respective presentation score. The presentation score for a (connected profile, job posting) pair reflects likelihood that the employee refers a candidate represented by the connected profile from the (connected profile, job posting) pair for the job represented by the job posting from the (connected profile, job posting) pair.

Abstract: A referral system is provided with an on-line social network system. The referral system accesses a member profile representing an employee of a certain company. For each job posting that represents a job at the target organization, the referral system generates a presentation score that reflects the likelihood of the employee referring someone from their network for the job represented by that job posting. The referral system uses respective presentation scores generated for the job postings to determine which of these job postings are to be selected for inclusion into a referral UI for presentation to the employee.

Abstract: There is provided an electronic device for managing functionality of applications. The device including a processor which detects an input with respect to a graphical element displayed on a display of the electronic device, the graphical element representing a first application, generates at least one sub-graphical element from the graphical element, the at least one sub-graphical element representing a functional data item associated with the first application and controls the display to display the at least one sub-graphical element.

Abstract: A source edge router initiates point-to-point (P2P) label switched paths (LSPs) to multiple receiver edge routers, sends one or more PATH messages to one or more nodes downstream of the source edge router for the P2P LSPs, wherein each one of the set of PATH messages includes a same identifier of a point-to-multipoint (P2MP) LSP that includes a session object that contains a tunnel identifier and a P2MP identifier, and receives from each of those nodes downstream of the source edge router, a set of one or more RESV messages, wherein each one of the received RESV messages received from a respective node downstream of the source edge router includes the identifier of the P2MP LSP and a label allocated by that node downstream of the source edge router.

Abstract: A referral system is provided with an on-line social network system. The referral system accesses a member profile representing an employee of a certain company and a target job posting representing a job opening at the same company. The referral system analyzes respective profiles of the member's connections in relation to the target job posting. For each connected member profile, the referral system generates a presentation score with respect to the job posting. The presentation score generated reflects likelihood that that particular employee refers a candidate represented by the connected member profile for the job represented by the target job posting and is used to determine which connected member profiles are to be presented to the employee.