US 12,242,805 B2
Systems and methods for curated content classification
David Kruszewski, Media, PA (US); and Simon Luthi, Landenberg, PA (US)
Assigned to JPMORGAN CHASE BANK, N.A., New York, NY (US)
Filed by JPMORGAN CHASE BANK, N.A., New York, NY (US)
Filed on Oct. 13, 2022, as Appl. No. 18/046,360.
Claims priority of provisional application 63/255,769, filed on Oct. 14, 2021.
Prior Publication US 2023/0120924 A1, Apr. 20, 2023
Int. Cl. G06F 40/279 (2020.01); G06F 21/62 (2013.01); G06N 5/022 (2023.01); G06Q 30/0226 (2023.01)
CPC G06F 40/279 (2020.01) [G06F 21/6218 (2013.01); G06N 5/022 (2013.01); G06Q 30/0226 (2013.01)] 20 Claims
OG exemplary drawing
 
8. A system comprising one or more computer processors, wherein the one or more computer processors are configured to:
host and execute one or more curation content machine learning models, wherein the one or more curation content machine learning models are configured to classify a textual review into a plurality of classifications, and wherein the plurality of classifications have been assigned respective relative weights;
receive, at a collaboration service, a user review of a travel objective from a user of the collaboration service;
provide the review as an input feature dataset to the one or more curation content machine learning models;
receive, as output of the one or more curation content machine learning models, a plurality of classifications of the user review; and
aggregate, by the collaboration service, a relative value score based on the assigned relative weight of the plurality of classifications of the user review.