Abstract: A computer-implemented method, a computer program product, and a computer system for misinformative content mitigation. A computer receives from a social network system a request for curated content, where the curated content is related to misinformative content that has been identified by the social network system. The computer sends to a system of a paid curated content producer a request for making the curated content public. In response to that the system of the paid curated content producer accepts the request for making the curated content public, the computer provides to the social network system a link to the curated content on the system of the paid curated content producer. On the social network system, the misinformative content is flagged and the link to the curated content is presented aside the misinformative content.

Abstract: In an approach to training a chatbot for remote troubleshooting, one or more computer processors receive a request for help with an issue from a user via a chatbot. One or more computer processors extract information associated with the issue from the request. One or more computer processors determine a script is not available to resolve the issue. One or more computer processors request an agent to resolve the issue. One or more computer processors monitor one or more actions performed by the agent to resolve the issue. Based on the one or more actions, one or more computer processors generate a script, wherein the script includes a sequence of commands corresponding to the one or more actions. One or more computer processors store the script.

Abstract: In an approach to training a chatbot for remote troubleshooting, one or more computer processors receive a request for help with an issue from a user via a chatbot. One or more computer processors extract information associated with the issue from the request. One or more computer processors determine a script is not available to resolve the issue. One or more computer processors request an agent to resolve the issue. One or more computer processors monitor one or more actions performed by the agent to resolve the issue. Based on the one or more actions, one or more computer processors generate a script, wherein the script includes a sequence of commands corresponding to the one or more actions. One or more computer processors store the script.

Abstract: A computer-implemented method, a computer program product, and a computer system for misinformative content mitigation. A computer receives from a social network system a request for curated content, where the curated content is related to misinformative content that has been identified by the social network system. The computer sends to a system of a payed curated content producer a request for making the curated content public. In response to that the system of the payed curated content producer accepts the request for making the curated content public, the computer provides to the social network system a link to the curated content on the system of the payed curated content producer. On the social network system, the misinformative content is flagged and the link to the curated content is presented aside the misinformative content.

Abstract: Aspects discussed herein include a computer-implemented method comprising receiving a support request from a user, and during a current support session responsive to the support request, performing textual analysis of one or more inputs provided by the user during one or both of: (i) the current support session and (ii) one or more previous support sessions. The method further comprises applying one or more features determined by the textual analysis to a model to classify the user into a first class of a predefined plurality of classes that describe a pace of conversation during the current support session. The method further comprises, based on the classification of the user, assigning the support request to be fulfilled by a first operator of a predefined plurality of support operators.

Abstract: A computer system includes a processor configured to execute a conversational agent generator function. The conversational agent generator function is configured to receive a plurality of model input queries. Each model input query includes an intent and a corresponding answer to the intent. A database stores a corpus including sets of textual responses indicative of a common meaning. Each textual response in a given set of textual responses indicates a common meaning constructed in a different style indicative of a corresponding tone of communication. The processor is further configured to execute a rephrasing function configured determine the answer of one of the plurality of model input queries, and convert the answer of one of the plurality of model input queries into a plurality of different rephrased answers from the corpus stored in the database. The processor further outputs the plurality of different rephrased answers to the conversational agent generator function.

Abstract: A method of providing examples to a computerized conversation agent includes associating one or more triplets of two concepts and a relationship therebetween with an intent related to a query. The triplet is embedded in a knowledge graph and the concepts in the knowledge graph are mapped to the intent. A call log is scanned for examples of the intent based on the concepts in the knowledge graph and the examples are mapped to the intent.

Abstract: A method of providing examples to a computerized conversation agent includes associating one or more triplets of two concepts and a relationship therebetween with an intent related to a query. The triplet is embedded in a knowledge graph and the concepts in the knowledge graph are mapped to the intent. A call log is scanned for examples of the intent based on the concepts in the knowledge graph and the examples are mapped to the intent.

Abstract: Devices that consume power may be individually and uniquely associated with a blockchain wallet into which funds may be transferred. The device can be provided with a client application that executes within the device to determine an energy provider and the cost rate of energy supply. The client application calculates a value of energy consumption by the device and creates a blockchain transaction to transfer a funds value for the energy consumption from the device's blockchain wallet to a wallet of the energy provider. By providing devices that can self-manage their electricity supply and the accounting thereof, billing of power can be decentralized from a meter that meters all supply to a premises to individual devices. The requirement for a central billing entity, billing address, etc. can also be removed.

Abstract: Aspects discussed herein include a computer-implemented method comprising receiving a support request from a user, and during a current support session responsive to the support request, performing textual analysis of one or more inputs provided by the user during one or both of: (i) the current support session and (ii) one or more previous support sessions. The method further comprises applying one or more features determined by the textual analysis to a model to classify the user into a first class of a predefined plurality of classes that describe a pace of conversation during the current support session. The method further comprises, based on the classification of the user, assigning the support request to be fulfilled by a first operator of a predefined plurality of support operators.

Abstract: A computer system includes a processor configured to execute a conversational agent generator function. The conversational agent generator function is configured to receive a plurality of model input queries. Each model input query includes an intent and a corresponding answer to the intent. A database stores a corpus including sets of textual responses indicative of a common meaning. Each textual response in a given set of textual responses indicates a common meaning constructed in a different style indicative of a corresponding tone of communication. The processor is further configured to execute a rephrasing function configured determine the answer of one of the plurality of model input queries, and convert the answer of one of the plurality of model input queries into a plurality of different rephrased answers from the corpus stored in the database. The processor further outputs the plurality of different rephrased answers to the conversational agent generator function.

Abstract: A system, method and program product for a query-based interface in a cognitive computing platform. A system is provided that includes a query processor that inputs a query for an identified user and determines a set of results for inclusion in a cognitive response based on a set of information sources; a modality selection system that selects an interface modality for the cognitive response based on user profile data and at least one external input; and a response formatting system that determines a response format for the set of results in the cognitive response, wherein the response format is determined based on confidence levels determined from social networking information associated with the identified user.

Abstract: A conversational agent capability assessment method, system, and computer program product, includes assessing a performance, a personality and a cognitive trait of a conversational agent based on natural written language by a second conversational agent by combining an analysis of a plurality of metrics that each compare a metric from the conversational agent with a metric from the second conversational agent and producing a report detailing the performance, the personality, and the cognitive trait of the conversational agent.

Abstract: A user guided data mining system includes: a database storing a network graph comprising a plurality nodes and edges, node attributes for the nodes, and edge attributes for the edges; and a data mining module configured to: request feedback from a user indicating at least one of the node attributes, visualize the network graph considering the indicated attributes, request feedback from the user indicating a part of the visualized network graph and a class of graph mining algorithm, and rank a plurality of different graph mining algorithms of the indicated class based on the indicated part.

Abstract: Devices that consume power may be individually and uniquely associated with a blockchain wallet into which funds may be transferred. The device can be provided with a client application that executes within the device to determine an energy provider and the cost rate of energy supply. The client application calculates a value of energy consumption by the device and creates a blockchain transaction to transfer a funds value for the energy consumption from the device's blockchain wallet to a wallet of the energy provider. By providing devices that can self-manage their electricity supply and the accounting thereof, billing of power can be decentralized from a meter that meters all supply to a premises to individual devices. The requirement for a central billing entity, billing address, etc. can also be removed.

Abstract: A mitigation action recommendation method, system, and computer program product, includes building a cognitive machine learning model for a conversational agent, querying a user, via the conversational agent, to create a profile of the user by comparing answers from the user to the cognitive machine learning model to determine missing data, and creating a new query, based on the cognitive machine learning model, to acquire, via the conversational agent, at least some of the missing data from the user to update the profile.

Abstract: A conversational agent capability assessment method, system, and computer program product, includes obtaining data to create at least one scenario for testing a conversational agent, performing a set of tests using a scenario of the at least one scenario created to assess a capability of the conversational agent, and comparing a result of the capability from the set of tests with an expected result of the scenario.

Abstract: A conversational agent capability assessment method, system, and computer program product, includes assessing a performance, a personality and a cognitive trait of a conversational agent based on natural written language by a second conversational agent by combining an analysis of a plurality of metrics that each compare a metric from the conversational agent with a metric from the second conversational agent and producing a report detailing the performance, the personality, and the cognitive trait of the conversational agent

Abstract: A system, method and program product for arranging a set of nodes having disparate cognitive learning capabilities in a space. A method is provided that includes: receiving node related inputs that include structured data and unstructured data; identifying existing relationships and interactions among the nodes by analyzing external resource data; generating a cognitive profile for each node in the set of nodes based on the node related inputs; determining a compatibility for each pair of nodes in the set of nodes based on generated cognitive profiles and existing relationships and interactions; and calculating an arrangement based on the compatibility determined for each pair of nodes.

Abstract: Backup and restore of digital data may utilize online social network parameters of a user to determine a number of parts into which to divide digital data and distribute the parts. A list of friends from the social network friends may be selected, e.g., based on a relationship to the user in the social network, to store the parts. The parts may be stored in a friend's device memory, each of the parts stored with a different friend. The digital data may be reconstructed by obtaining a threshold number of parts from the friends.