International Business Machines Corporation

Werner Geyer

Michael Muller

Elizabeth Anne Brownholtz

Casey Dugan

David R Millen

Martin T Moore

Michael C Wu

Shilad Sen

James Johnson

Aabhas Sharma

Eric M Wilcox

Sandra Louise Kogan

Joan M DiMicco

Jodi M Large

Andrew Lewis Schirmer

Paul Brian Moody

Miguel A Estrada

Thomas P Moran

Steven I Ross

Bernard J Kerr

Jonathan D Feinberg

Matthew Scott Davis

Yasaman Khazaeni

Marco Patricio Crasso

Richard M Wilson

Suzanne O Minassian

Michael Chi Hung Wu

Lida Li

Andrew J Witt

Jianqiang Shen

Praveen C Ravichandran

Martin J Moore

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.

Improving the accuracy of a compendium of natural language responses

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. The computer-executable components can further include a feedback component that receives rating information indicative of ratings for the portions of the second digital content.

Crowdsourced prevention or reduction of dissemination of selected content in a social media platform

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.

Cognitive agent for persistent multi-platform reminder provision

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.

Cognitive request management

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.

Activity centric resource recommendations in a computing environment

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.

Cognitive image detection and recognition

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.

Site-wide navigation element for user activity in a social networking site

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.

Logging external events in a persistent human-to-human conversational space

Embodiments of the present invention address deficiencies of the art in respect to object attribution modification and provide a novel and non-obvious method, system and computer program product for drag and drop attributes for objects in a graphical user interface. In one embodiment of the invention, a method for drag and drop object attributes in a GUI can be provided. The method can include presenting draggable object attributes in the GUI, dragging one of the draggable object attributes into a separate target object in the GUI, and applying a value for the draggable object attribute to the separate target object. In one aspect of the embodiment, each of the draggable object attributes in the GUI can be separate and independent from any particular object in the GUI. In another aspect of the embodiment, each of the draggable object attributes in the GUI can be draggable from the particular object to a target object in the GUI.

Drag and drop object attribute assignment for objects in a graphical user interface (GUI)

Embodiments of the present invention address deficiencies of the art in respect to alert bubbles for alert management and provide a novel and non-obvious method, system and computer program product for contextual alerts for alert management. In an embodiment of the invention, an alert management data processing system can be provided. The system can include an alert bubble configured to display alert text for an associated alert, and contextual information disposed in the alert bubble interface along with the alert text. In particular, the contextual information can provide context for the associated alert.

Contextual alert bubbles for alert management

Embodiments of the present invention address deficiencies of the art in respect to activity thread management and provide a method, system and computer program product for activity objectification for non-activity objects in an activity-centric collaboration tool. In an embodiment of the invention, a method for activity objectifying non-activity/task objects in an activity-centric collaboration tool can be provided. The method can include selecting a non-activity/task object in an activity thread for an activity map of the activity-centric collaboration tool, and associating an activity attribute with the selected non-activity/task object. The non-activity/task object further can be decorated with a user interface control corresponding to a value for the activity attribute, and a state for the user interface control can be changed responsive to changes in the value for the activity attribute.

Activity objectification for non-activity objects in an activity-centric collaboration

A computer-implemented method and apparatus determines individual user priorities of collections of resources. The system represents collections of shared resources as end-user activities. An engine retrieves the activity access history of the user and the activity records and generates a description of each activity and a priority score. The engine may include a data collection component and a training and ranking component. Based on the activity descriptions and priority scores, the system generates and outputs for display an activity list ordered by individual user priority.

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Boston, MA, United States of America

Werner Geyer