Abstract: Work-load management in a client-server infrastructure includes setting request information in accordance with request semantics corresponding to a type of request from a client. The request semantics include different request-types provided with different priorities during processing. Within a server, requests with high priority are included in a standard request processing queue. Further, requests with low priority are excluded from the standard request processing queue when server workload of the server exceeds a predetermined first threshold value.

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 or use in creating messages 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. Personal profile characteristics of senders/recipients can indicate correlations between certain message characteristics and certain outcomes.

Abstract: Embodiments are provided that facilitate training and utilization of specially configured multi-armed bandit model(s). Such embodiments configure multi-armed bandit model(s) to provide selected network asset scoring model(s) from a network asset scoring model set and/or a selected data tagged network asset set from a set of data tagged network asset sets. Such selections are performable for a particular user profile, for example to perform accurate and/or efficient process(es) for provision of network asset data object(s) to the user profile(s). Some embodiments access enterprise network interaction data, access a set of data tagged network asset sets, train a multi-armed bandit model to provide a selected network asset scoring model and a selected data tagged network asset set, and provides one or more network asset data objects based on the selected network asset scoring model and the selected data tagged network asset set.

Abstract: According to certain embodiments, a message bus system comprises a first client and a second client. The first client is configured to publish messages associated with a message topic to a message bus, and the second client is configured to receive the messages associated with the message topic from the message bus. The message bus system is configured to unsubscribe the second client from the message topic based at least in part on determining that a demand of the second client for the messages associated with the message topic has fallen below a threshold.

Abstract: A method and device for subscribing social network service. The method includes: receiving a message to be published for a subscription of social network service; retrieving one or more subscribers following the subscription according to prestored subscription relationship information; and feeding the message to the one or more subscribers following the subscription such that one or more actions associated with change information of the subscription is/are applied on the subscribers. Therefore, it will easily support a lot of business use cases utilizing subscription relationship and message feed service. Furthermore, new business cases of provisioning can be produced based on this service.

Abstract: Multi-layer computer-implemented methods of encryption and decryption of English-language text messages, as well as practical systems that implement them. The first layer of encryption may be by encoding each character as a 3-digit number, or by letter-proximity-based mapping of characters to unique 1-digit, 2-digit, and 3-digit numbers. A second layer of encryption is achieved by mapping some or all of these numbers to unique cryptograms using patterns from Kaprekar Graphs for 3-digit numbers.

Abstract: The present disclosure relates to a communication method and system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

Abstract: A chat message from a user to a primary chat bot service is received. A secondary chat bot service is automatically evaluated and selected to handle the chat message, wherein the secondary chat bot service is selected from a plurality of candidate secondary chat bot services that includes at least one chat bot service provided by a third-party entity external to an entity providing the primary chat bot service. The chat message is forwarded to the selected secondary chat bot service.

Abstract: Methods, systems, and computer-readable storage media for receiving a set of documents matched by a ML model, each document in the set of documents including a computer-readable electronic document, processing a set of pairwise features, the ML model, and the set of documents by an explanation framework to generate a set of raw explanations, the set of raw explanations including one or more raw explanations, each raw explanation including a pairwise feature and an importance score, for each raw explanation, identifying a natural language template based on the pairwise feature and the importance score, and populating the natural language template with one or more parameters provided from the set of documents to provide a natural language explanation for matching of the documents in the set of documents by the ML model.

Abstract: Technology for operating a computer system to manage network communications with plural devices, comprising retrieving from a registry one or more device capability profiles for the identified devices, the registry linking a device capability profile with each of the identified plural devices and the device capability profile identifying one or more capabilities of a device; operating in the computer system a message translation manager to adapt a message according to a linked device capability profile of each of the plural devices; and sending the message in adapted form to each identified one of the plural devices.

Abstract: A system provides multichannel aggregation of electronic data via a centralized integration hub. In particular, the system may aggregate data associated with a user and provide various processes and/or functions via an integration hub that is accessible by the user via a user device. In this way, the system may allow the client to efficiently navigate the various features offered by the entity for account optimization purposes.

Abstract: An information processing apparatus includes memory and a processor. When first and second users have a conversation by transmitting and receiving conversation information to and from each other, and the first user chooses to use an automatic reply function for conversation information that is transmitted from the second user after the first user has received conversation information from the second user at least once or more, the processor is configured to automatically reply to conversation information that is transmitted to the first user from the second user after the first user has made the choice.

Abstract: A receiving unit (310) receives a message transmitted from any one of the users that are talk targets. The interpreter (341) attempts to interpret, as an answer to a question, the message received by the receiving unit (310). A collector (342) collects, upon success of the attempt made by the interpreter (341), the interpreted answer as the answer from the user who sends the message. When a predetermined requirement is satisfied in a state where a yet-to-respond user whose answer is not yet collected by the collector (342) is present, an inquiry transmitter (321) transmits an inquiry about the question to at least the yet-to-respond user among the users. A result transmitter (322), after the answers are collected from all of the users, transmits to the users a message indicating a result obtained by tallying the answers.

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: Methods and systems for managing data are disclosed. One method can comprise storing first data locally relative to a user device and storing second data remotely relative to the user device. The first data and the second data can relate to the same content. The method can also comprise generating a manifest comprising location information relating to the first data and the second data and receiving a request for transmission of one or more of the first data and the second data based upon the manifest.

Abstract: A method, device, and system for predicting and caching user activity for seamless user experience within vehicles is disclosed. The method includes identifying a contextual information based on current activity associated with a user within the vehicle. The method further includes retrieving predictive information from a remote server or a local cache within the vehicle, based on a type of the contextual information. The method includes rendering the predictive information to the user within the vehicle in response to retrieving. The method further includes capturing response of the user to the predictive information rendered to the user as a user feedback.

Abstract: A method, system and computer program product for topic recognition in a written conversation includes receiving, by one or more processors, a written conversation from a collaborative messaging system used by a user. The one or more processors perform a first search in the written conversation to find additional concepts associated with a topic stored in a knowledge base of the user. Each of the additional concepts includes a descriptor of the topic. In response to finding at least one additional concept associated with the topic in the written conversation, the one or more processors tag the at least one additional concept to the topic such that the at least one additional concept is replaced by the topic in the knowledge base.

Abstract: An autonomous chat bot monitors actions of users on a messaging platform and generates self-initiated chat sessions with the user to gauge users' interest and intent with respect to a target subject matter and the conversations of the chat sessions. Based on the gauged interest and intent, profiles or preferences are generated for the users independent of or relevant to the target subject matter. In an embodiment, customer contact information for the users are provided by the autonomous chat bot to a Customer Relationship Management (CRM) system for further engaging the customer with respect to the target subject matter or other subject matters determined to be relevant from the profiles or preferences.

Abstract: Embodiments of the disclosure provide a method of processing messages received in an asynchronous communication system. In some embodiments, the method includes determining that a conversation is established with a customer communication device using an asynchronous communication channel, analyzing one or more messages exchanged over the asynchronous communication channel to determine a likelihood of communication disengagement, comparing the likelihood of communication disengagement with a predetermined disengagement threshold, and based on the comparison of the likelihood of communication disengagement with the predetermined threshold, updating a graphical user interface of an agent communication device being used to engage in the conversation.

Abstract: A system for selective processing of web content wherein a processing unit executes an online application accessible to different users, and includes a first reception module for receiving, for a first user, a web name representing first web content; a first processing module for coupling to the web name the first web content with a coupling logic, a third reception module for receiving a request for access to the online application by a second user, a fourth reception module for receiving a selected web name from a stored list; an access module for accessing the first web content coupled; a second processing module for selectively processing the first web content and processing content received by the first user as a function of the coupling logic, and as a function of the selected web name and interaction content received by the second user.