US 12,443,669 B2
Artificial intelligence driven personalization for content authoring applications
Vipindeep Vangala, Hyderabad (IN); Rajesh Gunda, Hyderabad (IN); Rashi Anand, Hyderabad (IN); Nishchay Kumar, Hyderabad (IN); and Sapna Grover, Hyderabad (IN)
Assigned to MICROSOFT TECHNOLOGY LICENSING, LLC, Redmond, WA (US)
Filed by Microsoft Technology Licensing, LLC, Redmond, WA (US)
Filed on Jul. 12, 2024, as Appl. No. 18/771,454.
Application 18/771,454 is a continuation of application No. 17/145,554, filed on Jan. 11, 2021, granted, now 12,050,656.
Prior Publication US 2024/0362285 A1, Oct. 31, 2024
Int. Cl. G06F 16/00 (2019.01); G06F 3/0481 (2022.01); G06F 16/9535 (2019.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01)
CPC G06F 16/9535 (2019.01) [G06F 3/0481 (2013.01); G06F 40/279 (2020.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computing system, comprising:
a processor; and
memory storing instructions that, when executed by the processor, cause the processor to perform acts comprising:
obtaining a keyword and an identifier for a user of a content authoring application;
identifying a user graph based upon the identifier for the user, wherein the user graph is identified from amongst a plurality of computer-implemented user graphs;
identifying a portion of the user graph corresponding to at least one topic related to the keyword;
extracting a computer-readable first content from the portion of the user graph;
obtaining contextual data based upon the first content; and
transmitting the contextual data to the content authoring application, and wherein the contextual data is included in computer-readable second content that is presentable by the content authoring application.