US 12,147,913 B2
Data analysis and rule generation for providing a recommendation
Neha, Bangalore (IN); Manjula Golla Hosurmath, Bangalore (IN); and Rahul Reddy Ravipally, Bangalore (IN)
Assigned to INTERNATIONAL BUSINESS MACHINES CORPORATION, Armonk, NY (US)
Filed by International Business Machines Corporation, Armonk, NY (US)
Filed on Dec. 6, 2022, as Appl. No. 18/062,302.
Application 18/062,302 is a continuation of application No. 16/736,652, filed on Jan. 7, 2020, granted, now 11,544,593.
Prior Publication US 2023/0100996 A1, Mar. 30, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 17/00 (2019.01); G06F 16/36 (2019.01); G06N 5/04 (2023.01); G06N 20/00 (2019.01)
CPC G06N 5/04 (2013.01) [G06F 16/36 (2019.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method, comprising operations for:
building a recommendation structure from features of data, wherein the recommendation structure comprises a plurality of rules, and wherein each rule of the plurality of rules is associated with a recommendation;
sending the recommendation structure to a model;
creating a feature set comprising a feature and one or more related features from the features; and
in response to determining that a feature worthiness score of the feature set exceeds a threshold,
inputting the feature set to the model;
receiving a rule of the plurality of rules from the model, wherein the rule includes the feature, the one or more related features, and the associated recommendation; and
in response to receiving a set of values for the feature and the one or more related features, applying the rule to the set of values to provide the recommendation.