International Business Machines Corporation

Jason Boada

Munish Goyal

Aditya Vempaty

Sophia Krasikov

Harini Srinivasan

Qin Shirley Held

Rachel Cohen

Jeremy Chase

Dangaia Sims

A method and system for improving document lifecycle editing and storage technology is provided. The method includes enabling interactions between a user and a hardware controller. Editor profiles associated with editing privileges of the user are generated. The editor profiles include parameters generated based on a performance of past edits. The editing tasks are automated task difficulty attributes associated with a difficulty of executing the editing tasks are generated. The editing tasks may include readability and consolidation tasks. An optimized version of the editing tasks is assigned to software editors and time periods associated with the software editors completing the editing tasks are tracked. The optimized version of the editing tasks is generated based on the editor profiles and new tasks for assignment. User permissions and alerts are monitored and recommendation actions associated with the editing tasks are generated. The editing tasks are modified for future execution.

Automated editing task modification

A method for generating an output comprising one or more segments includes obtaining a plurality of profiles derived from unstructured data associated with a plurality of users, wherein a given one of the profiles corresponds to a respective one of the users; repetitively executing at least one machine learning technique on the plurality of profiles, each execution producing a respective set of one or more segments from the plurality of profiles; generating a complete graph by performing pairwise comparisons between sets of segments from respective executions; applying at least one persistency graph algorithm to the complete graph to find one or more coherent clusters comprising one or more segments that are persistent across the repetitive executions of the machine learning technique; and producing the output at least in part by selecting at least one of the segments from at least one of the coherent clusters.

Automatic segmentation of a collection of user profiles

A method and system for improving linguistic data and storage technology is provided. The method includes receiving data input text from a user and identifying text within the data input text. The data input text is edited and improvements in the data input text are detected via a machine learning process. In response, a modified version of the user interface is generated for allowing additional users to view and modify additional data input text. Change attributes associated with the data input text with respect to the modified version of the user interface are determined and alternative input suggestions are ranked. Editing data and code are generated in response to an editor engine interacting with a hardware controller. The editing data and code is executed thereby updating and modifying functions associated with software engines to increase an efficiency of future recommendations associated with future data input text analysis.

Updating and modifying linguistic based functions in a specialized user interface

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Danbury, CT, United States of America

Jason Boada