Abstract: Methods and systems for automating user interactions include annotating chat logs to identify user intent in question-answer pairs. A classifier is trained, using the annotated chat log, to identify user intent in automated conversations. Chat flows are formed, using the annotated chat logs, that provide responses to user statements based on identified user intent. An automated conversation is conducted with a user, using the chat flows and the classifier, to provide automated responses to user statements.

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

Abstract: The present disclosure provides a method, computer system and computer program product facilitating generation of a conversation content. A computer-implemented method comprises: obtaining, by a device operatively coupled to one or more processors, history conversation data of an user; determining, by the device, a professional level of the user based on the history conversation data; and generating, by the device, a conversation content for the user based on the professional level of the user.

Abstract: A cognitive conversation system that generates effective diagnostic questions is provided. The cognitive conversation system receives a set of currently known symptoms (or currently available answers to diagnostic questions) of a reported problem or fault. The system identifies (i) a set of possible root causes of the reported problem based on the currently known symptoms and (ii) probabilities for the set of possible root causes by using a bipartite graph data structure that links possible symptoms with possible root causes. Upon determining that at least one possible root cause has a probability that is higher than a threshold, the system presents an explanation or solution associated with the at least one possible root cause. Upon determining that none of the possible root causes in the set of possible root causes has a probability higher than the threshold, the system presents a question based on information entropy that is computed based on probabilities of the identified possible root causes.

Abstract: A computer-implemented method is presented for enabling hierarchical conversational policy learning for sales strategy planning. The method includes enabling a user to have a conversation with a robot via a conversation platform, employing a plan database to store general plans used in the conversation, employing an industry database to store a plurality of candidate plans pertaining to sales promotions, and employing a plan and policy optimizer to allow the robot to select and output an optimal plan from the plurality of candidate plans, the optimal plan determined by hierarchical reinforcement learning via a first learner and a second learner, the first leaner selecting the optimal plan and the second learner selecting an optimal action.

Abstract: Computer-implemented method for searching for information related to an incident generated in a server system, a system and a computer program product. The method includes extracting context information from a current ticket describing the incident, the context information including a first expression describing a symptom of the incident and indicating at least one component of the server system associated with the symptom; determining a data source which generates data in which the information related to the incident is to be searched for at least according to the at least one component; and using the first expression describing the symptom and a second different expression describing the symptom as keywords to search for the information related to the incident in the data.

Abstract: A vehicle occupant comfort system, comprises a processor that stores computer executable components stored in memory. A plurality of sensors sense ambient conditions associated with exterior and interior conditions of a vehicle. A context component infers or determines context of an occupant of the vehicle. A comfort model component implicitly and explicitly trained on occupant comfort related data analyzes information from the plurality of sensors and context component. A comfort controller adjusts environmental conditions of a passenger compartment of the vehicle based at least in part on output of the comfort model component.

Abstract: A computer-implemented method, computer program product, and computer processing system are provided for generating inferences from a forest of predefined problem determination trees using a processor-based conversation platform. The method includes selecting a tree from among the forest of predefined problem determination trees, responsive to user utterances uttered during an inference generating session. The method further includes navigating the tree to allocate a relevant tree node to generate a problem diagnosis question or a problem resolution action by understanding the user utterances among common interaction patterns in problem diagnosis and problem resolution dialogs. The method also includes providing speech for uttering the problem diagnosis question or the problem resolution action to a user.

Abstract: A computer-implemented authentication method, the method comprising: matching a brain pattern sequence with a predetermined password to allow access to a system, wherein the brain pattern sequence is calculated by analyzing a signal slope of a slope threshold of the brain activity to determine a timing and a duration of the brain activity.

Abstract: An authentication method, system, and computer program product for decoding brain activity into a brain pattern sequence, applying brain dialog to interact with a user while the user is entering the brain pattern sequence, and matching the brain pattern sequence with a predetermined password to allow access to a system.

Abstract: Method and systems for tagging code include organizing code units in a hierarchical structure that associates the code units with respective description units. The hierarchical structure is filtered to remove un-meaningful description units from the hierarchical structure. Feature tags are generated based on a weighted sum of term frequencies in the description units of the hierarchical structure to associate features with respective code units.

Abstract: Technical solutions to automate alert remediation are described. One aspect includes a method that includes receiving a plurality of alerts from an application monitoring system, the plurality of alerts associated with a plurality of remediation procedures respectively. The method also includes selecting a subset of alerts from the plurality of alerts. The method also includes identifying a subset of remediation procedures corresponding to the subset of alerts and analyzing compliance, with a service level agreement, of an execution of the entire subset of remediation procedures. In response to the execution of the entire subset of remediation procedures being non-compliant, the latest alert that was added, is removed from the subset of alerts, and a remediation procedure corresponding to the latest alert is removed from the subset of remediation procedures. The method includes executing the entire subset of remediation procedures.

Abstract: Technical solutions to automate alert remediation are described. One aspect includes a method that includes receiving a plurality of alerts from an application monitoring system, the plurality of alerts associated with a plurality of remediation procedures respectively. The method also includes selecting a subset of alerts from the plurality of alerts. The method also includes identifying a subset of remediation procedures corresponding to the subset of alerts and analyzing compliance, with a service level agreement, of an execution of the entire subset of remediation procedures. In response to the execution of the entire subset of remediation procedures being non-compliant, the latest alert that was added, is removed from the subset of alerts, and a remediation procedure corresponding to the latest alert is removed from the subset of remediation procedures. The method includes executing the entire subset of remediation procedures.

Abstract: The present disclosure relates to identifying an origin/destination pair. Aspects include identifying an origin/destination pair in a service, which includes determining a current time when the current operation is executed in response to failure of a current operation for recording an origin/destination pair. Aspects also include determining a previous time when a last operation was executed for recording an origin/destination pair and identifying a missing point causing failure of the current operation based on a time interval between the current time and the previous time.

Abstract: The present disclosure relates to identifying an origin/destination pair. Aspects include identifying an origin/destination pair in a service, which includes determining a current time when the current operation is executed in response to failure of a current operation for recording an origin/destination pair. Aspects also include determining a previous time when a last operation was executed for recording an origin/destination pair and identifying a missing point causing failure of the current operation based on a time interval between the current time and the previous time.

Abstract: A cognitive conversation system that generates effective diagnostic questions is provided. The cognitive conversation system receives a set of currently known symptoms (or currently available answers to diagnostic questions) of a reported problem or fault. The system identifies (i) a set of possible root causes of the reported problem based on the currently known symptoms and (ii) probabilities for the set of possible root causes by using a bipartite graph data structure that links possible symptoms with possible root causes. Upon determining that at least one possible root cause has a probability that is higher than a threshold, the system presents an explanation or solution associated with the at least one possible root cause. Upon determining that none of the possible root causes in the set of possible root causes has a probability higher than the threshold, the system presents a question based on information entropy that is computed based on probabilities of the identified possible root causes.

Abstract: This disclosure provides a method for road condition prediction. The method comprises receiving, for at least one source vehicle, sensor data collected by a sensor associated with the source vehicle. The method further comprises identifying, based on the sensor data, at least a location with an abnormal road condition and a responsive action taken by the source vehicle. The method further comprises notifying, the location with the abnormal road condition and the responsive action to at least one target vehicle that is expected to pass the location. This disclosure also provides a computer system and a computer software product for road condition prediction.

Abstract: A method, a computer program product, and a computer system for managing a device in a vehicle. The computer system obtains a first configuration of a first device of a first vehicle, wherein the first configuration is set by a user of the first vehicle and the first configuration meets a driving habit of the user. The computer system generates an ergonomic model for the user based on the first configuration. The computer system determines a second configuration of a second device of a second vehicle based on the ergonomic model.

Abstract: A computer-implemented method for searching for a ticket relevant to a current ticket describing an incident, a system and a computer program product for the same. The method includes extracting a topology of a first application of a server system, the first application being indicated by the current ticket; selecting a second application relevant to the first application from a plurality of candidate applications of the server system, according to the topology; and searching tickets associated with the second application for the ticket relevant to the current ticket.