Response generation for predicted event-driven interactions

At least one non-transitory computer readable storage medium including instructions for targeted trend response that, when executed by a computer, cause the computer to perform operations to:

• obtain a set of event data and a set of interaction data, wherein the set of event data describes an event associated with a first entity, and wherein the set of interaction data describes an interaction between the first entity and a second entity;
• evaluate the set of event data and the set of interaction data to determine a correlation between the event that corresponds to the set of event data and the interaction that corresponds to the set of interaction data;
• collect a set of profile data associated with the interaction, wherein the set of profile data describes the second entity;
• compare the set of profile data to a user profile to determine a predicted interaction, wherein the user profile describes a third entity, and wherein the predicted interaction is determined based on a similarity between members of the set of profile data and attributes included in the user profile, wherein the operations to compare the set of profile data to the user profile to determine the predicted interaction further comprising operations to:
• apply a set of user profile attributes of the user profile to an interaction preference model to determine an interaction preference for the user profile, the interaction preference model configured using a set of user profiles and event data to identify user attributes corresponding to interaction preferences and wherein for each user profile of the set of user profiles includes user profile attributes and interaction preferences;
• compare the set of user profile attributes to the set of event data to determine an event impact score for the user profile, wherein the event impact score is determined based on a variation of a value of a member of the set of user profile attributes based on an adjustment indicated by a corresponding value for a member of the set of event data;
• and
• determine, for the user profile, the predicted interaction for an event, using the interaction preference, event data associated with the event, and the event impact score;
• transmit a graphical display of options to respond to the predicted interaction to an administrator based on the comparison;
• receive an interaction indicator related to the event for the user profile, wherein the interaction indicator indicates a user initiated interaction for the event;
• and
• update the interaction preference model using the interaction indicator.

A method for targeted trend response, the method comprising:

• obtaining a set of event data and a set of interaction data, wherein the set of event data describes an event associated with a first entity, and wherein the set of interaction data describes an interaction between the first entity and a second entity;
• evaluating the set of event data and the set of interaction data to determine a correlation between the event corresponding to the set of event data and the interaction corresponding to the set of interaction data;
• collecting a set of profile data associated with the interaction, wherein the set of profile data describes the second entity;
• comparing the set of profile data to a user profile to determine a predicted interaction, wherein the user profile describes a third entity, and wherein the predicted interaction is determined based on a similarity between members of the set of profile data and attributes included in the user profile, wherein comparing the set of profile data to user profile to determine the predicted interaction further comprising:
• applying a set of user profile attributes of the user profile to an interaction preference model to determine an interaction preference for the user profile the interaction preference model configured using a set of user profiles and event data to identify user attributes corresponding to interaction preferences and wherein for each user profile of the set of user profiles includes user profile attributes and interaction preferences;
• comparing the set of user profile attributes to the set of event data to determine an event impact score for the user profile, wherein the event impact score is determined based on a variation of a value of a member of the set of user profile attributes based on an adjustment indicated by a corresponding value for a member of the set of event data;
• and
• determining, for the user profile, the predicted interaction for an event, using the interaction preference, event data associated with the event, and the event impact score;
• transmitting a graphical display of options for responding to the predicted interaction to an administrator based on the comparing;
• receiving an interaction indicator related to the event for the user profile, wherein the interaction indicator indicates a user initiated interaction for the event;
• and
• updating the interaction preference model using the interaction indicator.