Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: Data-deduplicating includes comparing a first record of a data-store with a second record of the data-store but instead of using a static weight for a field, the present data-deduplicating dynamically assigns a first weight for the first score to generate a first weighted score, wherein the first weight is based on one or both of the first value or the second value; and assigns a second weight for the second score to generate a second weighted score. A composite score is calculated based on the first weighted score and the second weighted score; and it is determined whether or not the first record and the second record are duplicate records, based on the composite score.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: Aspects of the invention perform an operation comprising receiving a plurality of rules associated with a first seat in a mass-transit vehicle, determining a plurality of physical attributes for a first passenger, of a plurality of passengers, based on data describing the first passenger received from a plurality of data sources, determining a plurality of non-physical attributes for the first passenger based on the received data describing the first passenger, determining that at least one of the plurality of physical attributes and the plurality of non-physical attributes of the first passenger satisfy each rule in the set of rules associated with the first seat, computing, based on a machine learning (ML) model a score for the first passenger, determining that the score exceeds a threshold score associated with the first seat, and allocating the first passenger to the first seat in the mass-transit vehicle.

Abstract: A discussion thread is associated with a master recipients list that is maintained at an author's computer or a server computer. The recipients list is revised as participants in the discussion are added to and/or removed from the discussion. An author is notified when target recipients do not match the master recipients list. When a participant is added to the discussion from an old discussion instance, a thread manager provides for the added participant to receive a more current discussion instance.

Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of removing a cognitive terminology from a news article at a news portal, the method including: receiving, by the processor, a first news article from a user; configuring, by the processor, a cognitive terminology filter list to add one or more entities and one or more cognitive terminology types associated with each entity in the cognitive terminology filter list; dividing, by the processor, the first news article into a plurality of text segments; identifying, by the processor, one or more key entities and one or more inter-entity relationships of each text segment; detecting, by the processor, one or more cognitive terminologies in the first news article; and providing, by the processor, one or more suggestions to remove the one or more cognitive terminologies.

Abstract: A computing system is configured to process at least one voice input of a user and output an audio result. The computing system comprises at least one microphone configured to receive the voice input from the user. The computing system further comprises at least one processor configured to at least interpret the voice input and generate the audio result. The computing system also comprises an output speaker device configured to output the audio result. The audio result includes a description of whether one or more behavioral health states associated with the user have been detected.

Abstract: In an approach for integrating documents a processor extracts a first set of keywords from at least one structured document. A processor generates a first batch of keywords from the first set of keywords, wherein each keyword in the first batch of keywords includes a weight. A processor extracts a second set of keywords from at least one unstructured document. A processor compares the first batch of keywords to the second set of keywords. A processor determines that the at least one unstructured document matches, based on a predetermined threshold, the at least one structured document, based on the comparison of the first batch of keywords to the second set of keywords. A processor removes the at least one unstructured document from a list of unstructured documents which are to be processed.

Abstract: In an approach for integrating documents a processor extracts a first set of keywords from at least one structured document. A processor generates a first batch of keywords from the first set of keywords, wherein each keyword in the first batch of keywords includes a weight. A processor extracts a second set of keywords from at least one unstructured document. A processor compares the first batch of keywords to the second set of keywords. A processor determines that the at least one unstructured document matches, based on a predetermined threshold, the at least one structured document, based on the comparison of the first batch of keywords to the second set of keywords. A processor removes the at least one unstructured document from a list of unstructured documents which are to be processed.

Abstract: A first application executing on a client device can access content and present the content to a user. An operating system of the client device can store into a database metadata identifying at least the content. A second application executing on the client device can access the content. In response, the operating system can determine that the first application already presented the content by accessing the metadata in the database. Responsive to the operating system determining that the first application already presented the content, the operating system can indicate to the second application not to present the content.

Abstract: A first application executing on a client device can access content and present the content to a user. An operating system of the client device can store into a database metadata identifying at least the content. A second application executing on the client device can access the content. In response, the operating system can determine that the first application already presented the content by accessing the metadata in the database. Responsive to the operating system determining that the first application already presented the content, the operating system can indicate to the second application not to present the content.

Abstract: Embodiments provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions, which are executed by the processor to cause the processor to implement the method of removing a cognitive terminology from a news article at a news portal, the method including: receiving, by the processor, a first news article from a user; configuring, by the processor, a cognitive terminology filter list to add one or more entities and one or more cognitive terminology types associated with each entity in the cognitive terminology filter list; dividing, by the processor, the first news article into a plurality of text segments; identifying, by the processor, one or more key entities and one or more inter-entity relationships of each text segment; detecting, by the processor, one or more cognitive terminologies in the first news article; and providing, by the processor, one or more suggestions to remove the one or more cognitive terminologies.

Abstract: A method to automatically delete an image stored on a computing device is provided. The method may include, in response to a trigger event, scanning a plurality of images stored on the computing device. The method may also include determining if at least one image within the scanned plurality of images matches a plurality of predetermined criteria or a predetermined threshold. The method may further include marking the at least one image for deletion based on the determination that the at least one image matches the plurality of predetermined criteria or the predetermined threshold. The method may include adding the marked at least one image to an auto delete list. The method may also include displaying the auto delete list to a user.

Abstract: A discussion thread is associated with a master recipients list that is maintained at an author's computer or a server computer. The recipients list is revised as participants in the discussion are added to and/or removed from the discussion. An author is notified when target recipients do not match the master recipients list. When a participant is added to the discussion from an old discussion instance, a thread manager provides for the added participant to receive a more current discussion instance.

Abstract: A discussion thread is associated with a master recipients list that is maintained at an author's computer or a server computer. The recipients list is revised as participants in the discussion are added to and/or removed from the discussion. An author is notified when target recipients do not match the master recipients list. When a participant is added to the discussion from an old discussion instance, a thread manager provides for the added participant to receive a more current discussion instance.

Abstract: A method to automatically delete an image stored on a computing device is provided. The method may include, in response to a trigger event, scanning a plurality of images stored on the computing device. The method may also include determining if at least one image within the scanned plurality of images matches a plurality of predetermined criteria or a predetermined threshold. The method may further include marking the at least one image for deletion based on the determination that the at least one image matches the plurality of predetermined criteria or the predetermined threshold. The method may include adding the marked at least one image to an auto delete list. The method may also include displaying the auto delete list to a user.

Abstract: Data-deduplicating includes comparing a first record of a data-store with a second record of the data-store but instead of using a static weight for a field, the present data-deduplicating dynamically assigns a first weight for the first score to generate a first weighted score, wherein the first weight is based on one or both of the first value or the second value; and assigns a second weight for the second score to generate a second weighted score. A composite score is calculated based on the first weighted score and the second weighted score; and it is determined whether or not the first record and the second record are duplicate records, based on the composite score.

Abstract: A discussion thread is associated with a master recipients list that is maintained at an author's computer or a server computer. The recipients list is revised as participants in the discussion are added to and/or removed from the discussion. An author is notified when target recipients do not match the master recipients list. When a participant is added to the discussion from an old discussion instance, a thread manager provides for the added participant to receive a more current discussion instance.

Abstract: The present application describes embodiments for reducing noise emanated by a device. An example computer implemented method includes receiving, by a supervisor device of a wireless system, a notification that an activity is being initiated. The method further includes, reducing the noise emanated by the device in response by determining, by the supervisor device a location of the device; in response to the location of the device being is within a predetermined vicinity of a location of the activity, sending, by the supervisor device a mute signal to the device.

Abstract: An approach for outage avoidance. The approach receives a scheduled task, wherein the scheduled task is completed at a scheduled time by a device. The approach receives an outage time of a service disruption, wherein the service disruption occurs at the outage time. The approach determines whether the service disruption conflicts with the scheduled task, based on the outage time and the scheduled time. Responsive to a determination that the service disruption conflicts with the scheduled task, the approach modifies the scheduled task to be completed at a modified time, wherein the outage time does not conflict with the modified time.