International Business Machines Corporation

Rachael M H Dickens

Jonathan Frederick Brunn

Bo Jiang

Ethan A Geyer

Liam S Harpur

Jonathan D Dunne

Andrew T Penrose

Ami H Dewar

Naama Tepper

Scott E Chapman

Rogelio Vazquez-Rivera

Dennis Jinlone Chen

Michael Celedonia

Katelyn Applegate

Thomas J Blanchflower

A method, computer system, and computer program product for calculating a group chat segment duration is provided. The embodiment may include capturing a plurality of group chat messages from a chat message repository. The embodiment may also include determining a probability distribution based on analyzing the captured group chat messages over a time vector. The embodiment may further include calculating a time parameter based on the determined probability distribution. The embodiment may also include calculating a content parameter based on one or more relevant chat topics. The embodiment may further include calculating an attendee parameter based on a plurality of attendees and one or more attendee associations. The embodiment may also include determining a chat duration prediction based on the calculated time parameter, the calculated content parameter, and the calculated attendee parameter.

Expected group chat segment duration

A method, a computer system, and a computer program product are provided for delivering notifications to users of a messaging platform. A mention directed to a specific context of users is received from a user of a messaging platform. A subset of users is dynamically determined from the specific context of users such that each user of the subset of users is more likely to engage with a notification associated with the mention than users of the specific context of users outside of the subset of users. The notification associated with the mention is sent to only the subset of users from the specific context of users.

Mentions with automated goal optimization

A method, computer system, and computer program product for cognitively summarizing one or more collaborative moments is provided. An embodiment may include receiving a plurality of communications sent during a collaborative session. The embodiment may also include grouping the plurality of received communications into one or more bursts. The embodiment may further include assigning one or more keywords or one or more entities to each burst. The embodiment may also include generating a summary for each burst using one or more natural language processing techniques based on the assigned one or more keywords or one or more entities. The embodiment may further include transmitting the generated summary to each user participating in the collaborative session.

Cognitive collaborative moments

Growing community of inventors

Raleigh, NC, United States of America

Rachael M H Dickens