Data-driven hardware configuration recommendation system based on user satisfaction rating

A computer program product, comprising a tangible machine-readable storage medium having encoded therein executable code of one or more software programs, wherein the one or more software programs when executed by at least one processing device perform the following steps:

• obtaining usage data indicating user activity for each of a plurality of users on at least one computing device, wherein the usage data indicating user activity for a given user comprises one or more of interactions of the given user with one or more user input devices of the at least one computing device of the given user and one or more performance indicators of the at least one computing device of the given user;
• generating a user profile for each of the plurality of users, wherein the user profile for a given user comprises a plurality of usage features generated using the user activity of the given user on the at least one computing device from the obtained usage data;
• clustering the plurality of users into a plurality of user clusters based on the plurality of usage features in the user profile, wherein the plurality of user clusters is maintained in at least one memory and wherein a new user is automatically assigned to a particular one of the plurality of user clusters;
• determining, for a given user cluster, a satisfaction score for each of the users in the given user cluster using the obtained usage data for each user on the at least one computing device, wherein the satisfaction score for a given user indicates a satisfaction level of the given user with respect to the at least one computing device;
• providing one or more suggested hardware upgrades for the at least one computing device of at least one user in the given user cluster, wherein the at least one user is selected based on the at least one user having a lower corresponding satisfaction score relative to the satisfaction scores of other users in the given user cluster, and wherein the one or more suggested hardware upgrades are based on a hardware configuration of one or more of the other users in the given user cluster having a higher corresponding satisfaction score than the satisfaction score of the at least one user, wherein the providing the one or more suggested hardware upgrades for the at least one computing device of at least one user in the given user cluster further comprises further clustering the plurality of users in the given user cluster based on the satisfaction scores into a plurality of satisfaction clusters, and for at least one user profile in a low satisfaction cluster, determining a recommended hardware configuration based on a configuration of at least one device of a user profile of a high satisfaction cluster.

An apparatus, comprising:

• a memory;
• and
• at least one processing device, coupled to the memory, operative to implement the following steps:
• obtaining usage data indicating user activity for each of a plurality of users on at least one computing device, wherein the usage data indicating user activity for a given user comprises one or more of interactions of the given user with one or more user input devices of the at least one computing device of the given user and one or more performance indicators of the at least one computing device of the given user;
• generating a user profile for each of the plurality of users, wherein the user profile for a given user comprises a plurality of usage features generated using the user activity of the given user on the at least one computing device from the obtained usage data;
• clustering the plurality of users into a plurality of user clusters based on the plurality of usage features in the user profile, wherein the plurality of user clusters is maintained in at least one memory and wherein a new user is automatically assigned to a particular one of the plurality of user clusters;
• determining, for a given user cluster, a satisfaction score for each of the users in the given user cluster using the obtained usage data for each user on the at least one computing device, wherein the satisfaction score for a given user indicates a satisfaction level of the given user with respect to the at least one computing device;
• providing one or more suggested hardware upgrades for the at least one computing device of at least one user in the given user cluster, wherein the at least one user is selected based on the at least one user having a lower corresponding satisfaction score relative to the satisfaction scores of other users in the given user cluster, and wherein the one or more suggested hardware upgrades are based on a hardware configuration of one or more of the other users in the given user cluster having a higher corresponding satisfaction score than the satisfaction score of the at least one user, wherein the providing the one or more suggested hardware upgrades for the at least one computing device of at least one user in the given user cluster further comprises further clustering the plurality of users in the given user cluster based on the satisfaction scores into a plurality of satisfaction clusters, and for at least one user profile in a low satisfaction cluster, determining a recommended hardware configuration based on a configuration of at least one device of a user profile of a high satisfaction cluster.