Methods and mobile devices to implement traveler interactions and activity to channelize customized data

A system comprising:

• a computer-readable memory storing executable instructions;
• and
• one or more processors in communication with the computer-readable memory and programmed by the executable instructions to at least:
• receive, by a first application executing on the one or more processors, interaction data representing an interaction with a user interface of a second application;
• determine an interaction type of the interaction;
• determine a prioritized value based at least partly on the interaction type and a user profile, wherein the user profile is associated with a user performing the interaction, wherein the prioritized value is determined using a hierarchical ranking of individual interaction types, wherein a first interaction type of the individual interaction types corresponds to a first prioritized value, and wherein a second interaction type of the individual interaction types corresponds to a second prioritized value;
• predict that the user will perform an activity, wherein performance of the activity is predicted based at least partly on the prioritized value;
• and
• generate advisory data regarding the activity, wherein the advisory data is configured for use in generating a presentation regarding the activity.

A non-transitory computer storage medium storing executable code, wherein the executable code configures a computing system to perform a process comprising:

• receiving, by a first application executing on the computing system, interaction data representing an interaction with a user interface of a second application;
• determining an interaction type of the interaction;
• determining a prioritized value based at least partly on the interaction type and a user profile, wherein the user profile is associated with a user performing the interaction wherein determining the prioritized value comprises:
• using a hierarchical ranking of individual interaction types, wherein a first interaction type of the individual interaction types corresponds to a first prioritized value, and wherein a second interaction type of the individual interaction types corresponds to a second prioritized value;
• and
• adapting an individual prioritized value based at least partly on a level of interest indicated by the user profile;
• predicting that the user will perform an activity, wherein performance of the activity is predicted based at least partly on the prioritized value;
• and
• generating advisory data regarding the activity, wherein the advisory data is configured for use in generating a presentation regarding the activity.