Optimizing a user experience

摘要

Systems, methods, and computer-readable media for optimizing a user experience are provided. The method includes optimizing a user experience using clusters, user preferences, or a combination thereof. Clusters may be created based on, for example, user behaviors, or actions, exhibited by a user. User preferences may be established for each cluster in order to further customize the clusters. The clusters may be continuously monitored such that if changes are necessary they may be immediately applied such as a user exhibited different behavior and requiring association with a new cluster. This information, or clustering, may be utilized to predict user satisfaction such that more positive user experiences are encountered and negative user experiences are, to the extent possible, avoided, or at least lessened.

主权项

1. One or more non-transitory computer-readable storage media having computer-executable instructions embodied thereon that, when executed, perform a method for optimizing a user experience, the method comprising:
identifying one or more users associated with a plurality of user behaviors, wherein the plurality of user behaviors are actions taken with regard to mobile device features; in accordance with the plurality of user behaviors, creating one or more user clusters, wherein each user cluster includes a subset of the one or more users associated with a predetermined number of same user behaviors; creating a set of user preferences within each of the one or more user clusters, wherein each set of user preferences:
(i) is specific to the plurality of user behaviors associated with a corresponding user cluster, and(ii) indicates mobile device feature preferences of the one or more users of the corresponding user cluster; predicting an overall user-experience satisfaction level for a first user using a first set of user preferences of a first user cluster to which the first user belongs; and when a negative overall user-experience satisfaction level for the first user is predicted, communicating a recommendation to the first user, wherein the recommendation provides one or more actions for the first user to take on a mobile device with regard to at least one mobile device feature, and wherein the one or more actions to take avoid the negative satisfaction level or reduce the negative satisfaction level.