US 12,081,508 B2
Feedback enabled network curation of relevant content thread
Craig M. Trim, Ventura, CA (US); Shikhar Kwatra, Durham, NC (US); Zachary A. Silverstein, Austin, TX (US); and Sarbajit K. Rakshit, Kolkata (IN)
Assigned to International Business Machines Corporation, Armonk, NY (US)
Filed by INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed on Jun. 25, 2019, as Appl. No. 16/451,386.
Prior Publication US 2020/0412682 A1, Dec. 31, 2020
Int. Cl. H04L 51/52 (2022.01); G06F 9/54 (2006.01); G06F 16/958 (2019.01); H04L 51/224 (2022.01); H04L 51/234 (2022.01)
CPC H04L 51/52 (2022.05) [G06F 9/542 (2013.01); G06F 16/958 (2019.01); H04L 51/224 (2022.05); H04L 51/234 (2022.05)] 19 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
identifying, by a computer device, particular users of a digital publishing platform, the particular users being users that have commented on previous content published by a first user;
identifying, by the computer device, correlated users, the correlated users being those particular users that have published a pertinent comment to previous published content by the first user;
assessing, by the computer device, a satisfaction level of the first user of each pertinent comment to the previous published content;
qualifying, by the computer device, a set of users from the correlated users, providing a qualified set of users, the qualified set of users being selected to be notified for requesting comments on a current content published by the first user, the current content pertaining to a specific topic, the qualifying comprising monitoring comments of the correlated users and determining if the monitored comments meet an objective satisfaction level of the first user, the objective satisfaction level being above a threshold;
sending a notification, by the computer device, to each of the qualified set of users to request a comment of the current content;
sending a new content notification, by the computer device, to each of the qualified set of users, responsive to the first user publishing new content;
detecting, by the computer device, new comments by the correlated users in the set of users, the new comments pertaining to the new content;
assessing, by the computer device, a satisfaction level of the first user with each new comment comprising determining a visual or oral response by the first user detected by a camera or a microphone;
updating, by the computer device, the qualified set of users based at least on the satisfaction level of the first user with each new comment;
iteratively updating, by the computer device, the qualified set of users, and sending a request for comments to the updated qualified set of users, responsive to at least one of additional comments being posted for the current content published by the first user or to comments posted for the new content published by the first user, wherein the iteratively updating comprises further assessing the satisfaction level of the first user to comments posted by each user of the set of users to at least one of the current content or the new content, wherein the further assessing is based at least on a relevance of the comments to the specific topic pertaining to the previous published content or an aggregate satisfaction level of the first user, the aggregate satisfaction level being a conglomeration of the satisfaction levels of the first user with each new comment;
sending a notification, by the computer device, to request an additional comment of the current content, the notification sent to each of the updated set of users;
wherein the iteratively updating of the qualified set of users is repeated until the aggregate satisfaction level exceeds an aggregate threshold.