Abstract: Using a natural language analysis, it is determined that a compendium requires a natural language response to a natural language query, the compendium comprising a set of stored natural language responses to natural language queries. A relevance of a portion of narrative text to the natural language query is scored according to a query relevance measure, the portion extracted from a corpus of narrative text. The compendium is enhanced according to the query relevance score with information in the portion.

Abstract: Crowdsourced solutions are provided that can prevent and/or reduce dissemination of selected digital content in a social media platform. In one embodiment, a system can include at least one memory device having computer-executable components stored therein, and at least one processor configured to execute the computer-executable components. Such computer-executable components can include a selection component that identifies multiple reviewer accounts using a selection criterion corresponding to a user account in the social media platform. The multiple reviewer accounts can evaluate presence of particular digital content in the social media platform directed to the user account. The computer-executable components also can include a routing component that can provide portions of digital content directed to the user account to respective reviewer accounts.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: A cognitive request management method, system, and computer program product include scanning a stream of incoming messages among at least two users to identify a request sent to a first user, storing the identified request in a list of unfulfilled requests, identifying a response of the first user to the request by backtracking within a message thread of the stream of incoming messages and when the response to a request is detected, the request is moved from the user's unfulfilled request list to a list of fulfilled requests, and displaying the list of unfulfilled requests and the list of fulfilled requests.

Abstract: Using a natural language analysis, it is determined that a compendium requires a natural language response to a natural language query, the compendium comprising a set of stored natural language responses to natural language queries. A relevance of a portion of narrative text to the natural language query is scored according to a query relevance measure, the portion extracted from a corpus of narrative text. The compendium is enhanced according to the query relevance score with information in the portion.

Abstract: Crowdsourced solutions are provided that can prevent and/or reduce dissemination of selected digital content in a social media platform. In one embodiment, a system can include at least one memory device having computer-executable components stored therein, and at least one processor configured to execute the computer-executable components. Such computer-executable components can include a selection component that identifies multiple reviewer accounts using a selection criterion corresponding to a user account in the social media platform. The multiple reviewer accounts can evaluate presence of particular digital content in the social media platform directed to the user account. The computer-executable components also can include a routing component that can provide portions of digital content directed to the user account to respective reviewer accounts.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to context sensitive resource recommendations and provide a method, system and computer program product for activity sensitive context sensitive resource recommendations. In an embodiment of the invention, an activity-centric resource recommendation method can be provided. The method can include inferring an activity from a workspace in a graphical user interface, identifying resources from amongst a set of resources that are relevant to the inferred activity, and displaying the identified resources in the graphical user interface.

Abstract: A cognitive request management method, system, and computer program product include scanning a stream of incoming messages among at least two users to identify a request sent to a first user, storing the identified request in a list of unfulfilled requests, identifying a response of the first user to the request by backtracking within a message thread of the stream of incoming messages and when the response to a request is detected, the request is moved from the user's unfulfilled request list to a list of fulfilled requests, and displaying the list of unfulfilled requests and the list of fulfilled requests.

Abstract: A reminder method, system, and computer program product include collecting information and an activity of a user, determining an optimum time to send the reminder to the user based on the information and the activity of the user and an optimal platform to deliver the reminder to the user based on the information and the activity of the user.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.

Abstract: Embodiments are directed to an image processing station for associating a non-trusted data set with a trusted data set. The station includes a memory and a user interface configured to receive the trusted data set and the non-trusted data set. The station further includes a processor system communicatively coupled to the memory and the user interface. The processor system is configured to generate, based at least in part on processing the trusted data set and the non-trusted data set, a confidence value that represents a probability that at least a portion of the non-trusted data set identifies at least a portion of the trusted data set.

Abstract: Embodiments of the present invention address deficiencies of the art in respect to social networking and provide a method, system and computer program product for site-wide recent action management in a social network. In an embodiment of the invention, a social networking data processing system can be provided. The system can include a social networking application executing in a host server and generating different page views for different users of the social networking application. The system also can include a data store of recent actions for different ones of the users. Finally the system can include a site-wide navigation element displayed in each of the page views for each of the users irrespective of the page view and whether or not the page view is a home page or profile page. In particular, the element can include user links to different profile pages for different users with recent actions.

Abstract: A two-stroke engine has a cylinder with a combustion chamber formed therein. The combustion chamber is delimited by a piston. The cylinder has a base on which extends a partition plane whereat the cylinder is separated from a crankcase. The combustion chamber is, in at least one piston position, connected via at least one transfer channel to the crankcase interior. The transfer channel passes from the cylinder into the crankcase at at least one opening. A side wall of the transfer channel has, in the cylinder, a first region wherein the wall encloses an angle of 90° with the cylinder longitudinal axis. Between the first region and the opening as viewed in the cylinder circumferential direction is arranged a second wall region. The second region has a spacing, measured parallel to the cylinder longitudinal axis, to the partition plane. The spacing is greater than the spacing in the first region.

Abstract: A software tool provides multiple round crowdfunding, maintaining investable amounts of investors within wallets, and projects having fundable amounts. The tool adds projects to a queue, and begins the multiple round process. In a round, the tool receives pledged amounts of the wallets towards the fundable projects within the queue. The tool moves each successfully funded project to a fully funded queue. After ending the round, the tool removes from the queue each fundable project for which the pledged amounts is less than its fundable amount and also less than a threshold for the project to advance to a next round, as determined by the tool. The tool ends the process when it determines that the maximum number of rounds has been reached, that the smallest fundable amount of any project remaining in the queue is greater than a remaining total of the wallets, or that the queue is empty.

Abstract: A software tool provides multiple round crowdfunding, maintaining investable amounts of investors within wallets, and projects having fundable amounts. The tool adds projects to a queue, and begins the multiple round process. In a round, the tool receives pledged amounts of the wallets towards the fundable projects within the queue. The tool moves each successfully funded project to a fully funded queue. After ending the round, the tool removes from the queue each fundable project for which the pledged amounts is less than its fundable amount and also less than a threshold for the project to advance to a next round, as determined by the tool. The tool ends the process when it determines that the maximum number of rounds has been reached, that the smallest fundable amount of any project remaining in the queue is greater than a remaining total of the wallets, or that the queue is empty.

Abstract: A method, system and apparatus for logging external events in a human-to-human conversational space. In a preferred aspect of the invention, a persistent human-to-human conversational system can include a persistent human-to-human conversational tool such as a persistent chat tool, and an external event processor coupled to the persistent human-to-human conversational tool. The system further can include a query interface to the persistent human-to-human conversational tool. Finally, the system can include one or more collaborative tools communicatively linked to the persistent human-to-human conversational tool.

Abstract: A method for identifying employees across external social media sites including generating a list of at least one external social media site to be compared with an enterprise directory, comparing a plurality of users in the at least one external social media site to at least one employee in the enterprise directory, and determining a match between the at least one employee in the enterprise directory and at least one user in the at least one external social media site.

Abstract: A method for identifying employees across external social media sites including generating a list of at least one external social media site to be compared with an enterprise directory, comparing a plurality of users in the at least one external social media site to at least one employee in the enterprise directory, and determining a match between the at least one employee in the enterprise directory and at least one user in the at least one external social media site.