Patent ID: 11868429
Assignee: META PLATFORMS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
accessing, by an online system, a list of features, the features used as input into a predictor to predict a performance metric for content presented to users of the online system, each feature associated with a ranked list of attributes, each attribute indicating a property of the feature;
computing importance scores for one or more of the features in the list of features, the importance scores computed based on an impact of each feature in influencing the predicted performance metric when used as an input in the predictor;
creating a ranked list of categories, each category having one or more sub-categories;
for each feature having a computed importance score:
for each attribute in the ranked list of attributes for that feature, assigning the feature to a sub-category in one of the categories in the ranked list of categories that has the same rank as the attribute in the ranked list of attributes for the feature, wherein the sub-category is associated with a label that corresponds with the attribute;

for each sub-category in each category, computing a cumulative score for the sub-category based on the importance scores of the features assigned to that sub-category;
ranking the sub-categories within each category according to the cumulative score of each sub-category;
transmitting a report to a third party system, the report indicating for each one of the ranked categories the label of the sub-category with the highest cumulative score; and
transmitting a notification to a user of the online system, the notification indicating the label of the sub-category with the highest cumulative score in the highest ranked category.