DATA-DRIVEN HARDWARE CONFIGURATION RECOMMENDATION SYSTEM BASED ON USER SATISFACTION RATING

摘要

Techniques are provided for recommending changes to a hardware configuration based on a user satisfaction rating. One method comprises obtaining usage data indicating user activity for each user on a computing device; generating a user profile for each user; clustering the users into user clusters based on the user profiles; determining, for a given user cluster, a satisfaction score for each user in the given user cluster based on the obtained usage data for each user on the computing device; providing suggested hardware upgrades for the computing device of a given user in the given user cluster, wherein the given user is selected based on a lower corresponding satisfaction score relative to the satisfaction scores of other users in the given cluster, and wherein the one or more suggested hardware upgrades are based on hardware configurations of one or more of the other users in the given cluster having a higher corresponding satisfaction score.