Method and System for Predicting the Timing of and Attendance at an Event Milestone

Abstract

A method for predicting the timing of and attendance at a predefined event milestone, the method including the steps of: receiving, by a prediction engine, a first input variable; generating, by the prediction engine, a first time prediction of the predefined event milestone in response to the received first input variable; receiving, by the prediction engine, a second input variable; generating, by the prediction engine, a first attendance prediction at the predefined event milestone in response to the second input variable; and assigning a first confidence level to one of the first time prediction and the first attendance prediction.

What is claimed is: 
     
         1 . A method for predicting the timing of and attendance at a predefined event milestone, the method comprising the steps of:
 receiving, by a prediction engine, a first input variable;   generating, by the prediction engine, a first time prediction of the predefined event milestone in response to the received first input variable;   receiving, by the prediction engine, a second input variable;   generating, by the prediction engine, a first attendance prediction at the predefined event milestone in response to the second input variable; and   assigning a first confidence level to one of the first time prediction and the first attendance prediction.   
     
     
         2 . The method of  claim 1 , further comprising the step of assigning a second confidence level to the other one of the first time prediction and the first attendance prediction. 
     
     
         3 . The method of  claim 1 , wherein the step of generating a first time prediction of the predefined event milestone further comprises the step of generating the first time prediction within a predefined threshold. 
     
     
         4 . The method of  claim 1 , wherein the step of generating a first attendance prediction at the predefined event milestone further comprises the step of generating the first attendance prediction within a predefined threshold. 
     
     
         5 . The method of  claim 1 , further comprising the step of receiving, by the prediction engine, a third input variable. 
     
     
         6 . The method of  claim 5 , further comprising the step of generating, by the prediction engine, a second time prediction of the predefined event milestone in response to the received third input variable. 
     
     
         7 . The method of  claim 6 , further comprising the step of assigning a second confidence level to the second time prediction. 
     
     
         8 . The method of  claim 1 , further comprising the step of receiving, by the prediction engine, a third input variable. 
     
     
         9 . The method of  claim 8 , further comprising the step of generating, by the prediction engine, a second attendance prediction at the predefined event milestone in response to the third input variable. 
     
     
         10 . The method of  claim 9 , further comprising the step of assigning a second confidence level to the second attendance prediction. 
     
     
         11 . The method of  claim 1 , further comprising the step of transmitting one of the first time prediction and the first attendance prediction. 
     
     
         12 . A system for predicting the timing of and attendance at a predefined event milestone, the system comprising:
 an event milestone prediction system comprising:
 a prediction engine configured to:
 receive a first input variable; 
 generate a first time prediction of the predefined event milestone in response to the received first input variable; 
 receive a second input variable; and 
 generate a first attendance prediction at the predefined event milestone in response to the second input variable; 
 
   wherein the event milestone prediction system is configured to assign a first confidence level to one of the first time prediction and the first attendance prediction.   
     
     
         13 . The system of  claim 12 , wherein the event milestone prediction system is configured to assign a second confidence level to the other one of the first time prediction and the first attendance prediction. 
     
     
         14 . The system of  claim 12 , wherein the prediction engine is configured to generate the first time prediction of the predefined event milestone within a predefined threshold. 
     
     
         15 . The system of  claim 12 , wherein the prediction engine is configured to generate the first attendance prediction within a predefined threshold. 
     
     
         16 . The system of  claim 12 , wherein the prediction engine is configured to receive a third input variable and to generate a second time prediction of the predefined event milestone in response to the received third input variable. 
     
     
         17 . The system of  claim 16 , wherein the event milestone prediction system is configured to assign a second confidence level to the second time prediction. 
     
     
         18 . The system of  claim 12 , wherein the prediction engine is configured to receive a third input variable and to generate a second attendance prediction at the predefined event milestone in response to the third input variable. 
     
     
         19 . The system of  claim 19 , wherein the event milestone prediction system is configured to assign a second confidence level to the second attendance prediction. 
     
     
         20 . A computer program product for predicting the timing of and attendance at a predefined event milestone, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions readable by a computer to cause the computer to perform a method comprising:
 receiving, by a prediction engine, a first input variable;   generating, by the prediction engine, a first time prediction of the predefined event milestone in response to the received first input variable;   receiving, by the prediction engine, a second input variable;   generating, by the prediction engine, a first attendance prediction at the predefined event milestone in response to the second input variable; and   assigning a first confidence level to one of the first time prediction and the first attendance prediction.