Abstract: A dialogue robot generation method, a dialogue robot management platform, and a storage medium. The dialogue robot generation method comprises: obtaining at least one first function module associated with a dialogue robot to be generated (101); obtaining a calling sequence of the at least one first function module (102); and calling the at least one first function module on the basis of the calling sequence by means of a preset model container to generate a dialogue robot (103).

Abstract: A media distribution device receives media content including media items to be broadcast. the media items include common media items to be delivered to end users by each of multiple different media delivery devices. “Common” refers to the fact that the same media items are delivered by the media delivery devices, and does not mean “ordinary.” The common media items are processed into first chunks and second chunks. The sizes of the first chunks the second chunks are different, with the size of the first chunks determined based at least in part on a first media delivery schedule associated with a first media delivery device and the size of the second chunks determined based at least in part on a second media delivery schedule associated with a second media delivery device. The first chunks are transmitted to the first media delivery device, and the second chunks are delivered to the second media delivery device.

Abstract: Techniques for business-to-business (B2B) chat routing are disclosed, including: receiving, by a B2B chatbot during a chat session with a user, user input including a user-supplied business name; performing a business lookup based at least on the user-supplied business name, to obtain a canonical business name and a unique business identifier associated with the canonical business name; performing a customer relationship management (CRM) system lookup based at least on the unique business identifier, to identify a corresponding business account; routing the chat session from the B2B chatbot to a human chat agent assigned to the corresponding business account.

Abstract: A system creates alerts of issues of importance to an organization. While an organization does not want to miss the opportunity to run an advocacy campaign on an issue of importance, it also does not want to run an unsuccessful campaign that might burden or bore those to whom the campaign is directed. The system maintains a history of previous campaigns as well as success outcomes of those campaigns. A computational model operates on selected previous campaigns and a candidate issue to determine a score indicative of whether a campaign should be run. The score can include a combination of relevancy to criteria for an issue of importance, similarity to issues from previous campaigns, and outcome success data for the selected previous campaigns. If the combined score meets a threshold, the system can present an option to initiate a new advocacy campaign on the candidate issue.

Abstract: The present disclosure provides an Industrial Internet of Things system for intelligent repair of manufacturing equipment and a control method. The Industrial Internet of Things system includes a management platform, a sensor network platform, and an object platform interacting in sequence. The object platform is configured as a plurality of manufacturing equipment arranged in sequence according to a process sequence on the assembly line. The management platform is configured to issue self-repair instructions and failure handling instructions corresponding to the intelligent repair method to the corresponding manufacturing equipment through the sensor network platform, so as to realize the automatic repair of manufacturing equipment, reduce the cost of manual troubleshooting, and ensure the normal production and manufacturing of the assembly line.

Abstract: This disclosure includes a message display method and apparatus, a device, and a storage medium. In the method, a message window of a first message group is displayed. The message window is configured to display messages of the first message group from a plurality of user accounts. A first message in the message window of the first message group is added to a grouped message window. The grouped message window is configured to display messages associated with a topic of the first message. Further, the messages associated with the topic are from at least one message group.

Abstract: Systems and methods for facilitating shared access-right evaluation using linked communication channels are provided. A first communication can be received over a first communication link from a first user device, and a second communication can be received over a second communication link from a second user device. The first and second communications can include requests for the assignment of access rights. Map data can be generated and transmitted to each of the first and second user devices. Each user device can display a visual representation of access-right data. Further, a communication session can be facilitated between the first user device and the second user device. The communication session can be presented on the visual representation for each user device so that the first user and the second user can collaboratively evaluate access rights.

Abstract: Systems and methods provide a flexible environment for intelligently scoring transactions from data sources. An example method includes providing a user interface configured to generate a rubric by receiving selection of one or more one or more conditions, each condition identifying a tag generated by a classifier in the library of classifiers and for each identified tag, receiving selection of a value for the tag that satisfies the condition and receiving selection of an outcome attribute for the condition. The outcome attribute may be a weight for the tag or an alert condition. The method includes storing the rubric in a data store and applying the stored rubric to scoring units of a transaction. The method also includes aggregating scores for transactions occurring during a trend period and displaying the trend score. In some implementations, at least one classifier in the library is a rule-based classifier defined by a user.

Abstract: A method is provided for operating a multi-channel messaging system. The method may provide automated conversation across multiple communication channels associated with a user by: selecting a first communication channel from the multiple communication channels, wherein the first communication channel is hosted by a first communication server; receiving, via an existing user interface of the first communication channel, a first user input via as part of a conversation with a chatbot, wherein the chatbot comprises a communication data structure comprising a plurality of communication paths; selecting a communication path based on the first user input; and generating a first feedback in response to the first user input according to the selected communication path.

Abstract: A chatbot executes on a user device to gather performance data associated with an application on the user device. During a diagnostics chat with a user, the chatbot receives a plurality of answers from a user of the user device to a plurality of prompts sequentially output by the chatbot to the user regarding a performance issue of an application on the user device. The chatbot also retrieves, from the user device, contextual data of the application during the performance issue. The chatbot packages the answers received from the user and the retrieved contextual data to enable diagnosis of the performance issue of the application.

Abstract: Methods, apparatus, systems, computing devices, computing entities, and/or the like for programmatically generating multi-paradigm feature representations are provided. An example method may include generating a code dataset including a plurality of codes associated with a predictive entity; generating a plurality of semantic feature vectors based at least in part on code description metadata; generating a plurality of structural feature vectors based at least in part on code relation metadata; generating a plurality of multi-paradigm feature vectors based at least in part on the plurality of semantic feature vectors and the plurality of structural feature vectors; generating a prediction for the predictive entity by processing the plurality of multi-paradigm feature vectors using a prediction model; and performing one or more prediction-based actions based on the prediction.

Abstract: Provided are an apparatus and a method for generating an alternative routine, the method comprising monitoring a first routine comprising at least one activity representing at least one interaction of a user with one or more IoT devices, determining semantic information associated with the at least one activity, and generating at least one second routine comprising one or more activities corresponding to the at least one activity based on the semantic information associated with the at least one activity.

Abstract: A computing system receives user activity data from a user interacting with content associated with a third party computing system. The computing system generates a profile for the user based on the user activity data. The profile includes tags indicating attributes about the user. The computing system establishes a communication session between the user and the intelligent assistant via a chat interface. The computing system receives a message from the user to the intelligent assistant. The computing system determines that the message includes at least one key word triggering retrieval of relevant content. Based on the determining, the computing system retrieves content that is associated with the key word and relevant to the user based on the tags associated with the user profile. The computing system causes a client device associated with the user to display the content alongside the chat interface.

Abstract: Techniques for resource monitoring and managed message reordering in a data center are described. In one example, a computing system comprises an ingress engine to receive a message from a network device in a data center comprising a plurality of network devices and the computing system; and in response to receiving the message from a network device in the data center, communicate the message to an appropriate collector application corresponding to the message's protocol type in compliance with at least one requirement for data stored in a message flow communicated from one or more network devices to the computing system.

Abstract: An advocacy system uses trained machine learning models to create messages that are sent to advocates or policymakers to achieve desired outcomes for an organization. Desired outcomes can include, for example: an advocate sending a message to a policymaker or legislative representative advocating in favor or the organization's position on an issue; a policymaker acting or voting in favor of the organization's position on an issue; or an advocate making a financial contribution to the organization. The machine learning models can be configured to select possible message characteristics or features that the system will include/use in creating/sending messages to/for individual senders and recipients. The machine learning models can be trained based on message characteristics, personal profile characteristics of senders/recipients, and outcomes from previously sent messages.

Abstract: A computer-implemented method, computer program product, and computing system is provided for determining quality of experience for communication sessions. In an implementation, a method may include determining a plurality of intrusive quality of experience scores associated with a plurality of intrusive audio transmission samples. The method may also include determining a plurality of non-intrusive quality of experience scores associated with a plurality of non-intrusive audio transmission samples. The method may further include deriving a quality of experience coefficient based upon a relationship between the plurality of intrusive quality of experience scores and the plurality of non-intrusive quality of experience scores.

Abstract: A computing device may represent dialog for output by a chatbot as a response graph. The graph may consist of nodes and edges, both of which may have attributes. The graph may be linked with another graph. There may be one or more traversal paths through the graph. The computing device may represent each traversal path as a row in a database table. Each column in the table row may correspond to: one or more nodes in the traversal path, a condition value, weight, and/or other filtering condition. A computing device may display a graphical user interface that allows a user to add, edit, and/or delete nodes and/or edges of the graph. The user interface may also allow the user to compare two or more graphs. The user interface may generate visualizations of traversal paths of a response graph.

Abstract: Embodiments of the present disclosure provide for improved management, selection, and provision of network asset data objects. For example, embodiments described throughout are configured to score various network assets corresponding to real-world assets, items, products, and/or the like, for selection and provision associated with one or more particular user profile identifiers. Embodiments are configured to train network asset scoring model(s) based on specific data, such as prioritized network asset data set(s), such that the trained network asset scoring model(s) efficiently generate more accurate, improved scores for network asset data objects. Additional or alternative embodiments are configured to provide data tagged network asset set(s) utilizing specially trained model(s), such as one or more multi-armed bandit models and/or one or more network asset scoring model(s).

Abstract: Methods of providing provider information to a client device includes receiving, from a client device, a request for information for a provider within a user's provider network, generating and providing a request for location information; receiving a location response, determining whether a location identified by the location response is currently supported by the provider determination system, generating and providing a provider type request, receiving a provider type response; determining whether there are providers within the user's provider network that match both the location identified in the location response and a provider type identified in the provide type response, generating and providing a provider list, receiving a provider selection response selecting a provider from the provider list, generating and providing a provider information including information related to the selected provider.

Abstract: Systems and methods for creating and accessing content items are provided. In some examples, a method can include receiving a user selection of an interface element located in a persistent user interface of an operating system desktop of a client device associated with a user account, identifying, based on a query to a meeting service, a meeting associated with the user account, displaying, in response to the user selection of the interface element, a set of user options for the meeting, the set of user options comprising an option to access a content item for the meeting, receiving a user selection of the option to access the content item for the meeting, and accessing, in response to the user selection, the content item.