US 12,216,720 B2
Group recommendation for user-generated content
Arnav Mittal, Noida (IN); Franklin Geo Francis, Bangalore (IN); and Taruna Manchanda, Bangalore (IN)
Assigned to Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Feb. 21, 2023, as Appl. No. 18/112,304.
Prior Publication US 2024/0281482 A1, Aug. 22, 2024
Int. Cl. G06F 16/9535 (2019.01); G06F 16/9536 (2019.01)
CPC G06F 16/9535 (2019.01) [G06F 16/9536 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
detecting a post of a user being added to an online service;
determining post interest scores for the post, the post interest scores being for a plurality of interests, each interest being associated with a topic;
calculating a match score for a plurality of groups based on the post interest scores and group interest scores;
using an intent machine-learning (ML) model to calculate the group interest scores, wherein the intent ML model is trained with training data based on past content and assigned labels for corresponding intents;
determining whether to recommend a group, from the plurality of groups, for including the post of the user in a feed of the recommended group based on the match score; and
within an order or less of a hundred milliseconds of the post of the user being added, causing, by a real-time nudge system, a presentation of the recommended group based on the determined recommendation.