Systems and methods for behavioural and contextual data analytics

Abstract

System and method for behavioral and contextual data analytics are disclosed. An example computer system to process observational data received from a wireless device includes a memory including machine readable instructions and a processor to execute the instructions to: process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behavior associated with the wireless device; and apply the behavior model to predict a usage duration of a second application in response to usage of a first application.

1 . A computer system to process observational data received from a wireless device, the computer system comprising:
 a memory including machine readable instructions; and   a processor to execute the instructions to:
 process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; 
 build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behavior associated with the wireless device; and 
 apply the behavior model to predict a usage duration of a second application in response to usage of a first application. 
   
     
     
         2 . The computer system of  claim 1 , wherein the processor is to receive supplementary data from an external data source. 
     
     
         3 . The computer system of  claim 1 , wherein the processor is to:
 serve a data query constructed by an external entity through usage metric data according to a query parameter; and   push information relating to usage metric data to an external entity according to push logic.   
     
     
         4 . The computer system of  claim 1 , wherein the processor is to generate data to adapt at least one of (i) a network service or (ii) an application for the wireless device according to the usage metric data derived from the temporally adjacent applications. 
     
     
         5 . The computer system of  claim 1 , wherein the processor is to generate data for personalized advertising according to the usage metric data. 
     
     
         6 . The computer system of  claim 1 , wherein the processor is to determine an intensity variable including an activity indicator in a time domain relative to a selected time unit for the observational data. 
     
     
         7 . The computer system of  claim 6 , wherein the processor is to use the intensity variable to determine a usage frequency. 
     
     
         8 . The computer system of  claim 1 , wherein the processor is to process the observational data using at least one of correlation, additional clustering, or factoring. 
     
     
         9 . The computer system of  claim 8 , wherein the processor is to apply a clustering algorithm on the usage metric data to at least one of behaviorally segment wireless device users to form behaviorally coherent user groups, apply factor analysis to categorize applications, apply factor analysis to categorize content, or apply pattern recognition to calculate relationships between at least one of actions, users, or applications. 
     
     
         10 . The computer system of  claim 1 , wherein the observational data includes at least one of data relating to a voice communication action, data relating to a data communication action, microphone usage data, media reproduction data, camera usage data, user input data, user interface usage data, media recording data, location data, time data, identification data, device status data, cellular tower signal strength data, throughput rate data, signal-to-noise data, or data usage data. 
     
     
         11 . The computer system of  claim 1 , wherein the processor is to determine a usage intensity for at least one of an application or an application category, and to calculate a derived factor from the usage intensity, the factor including generic multimedia usage indices based on at least one of music, imaging, or video application usage variables. 
     
     
         12 . The computer system of  claim 1 , wherein the processor is to calculate execution start and stop times for the observational data to determine usage session durations for at least one of user interface-level applications or background applications. 
     
     
         13 . The computer system of  claim 1 , wherein the processor is to calculate a statistical model of usage behavior to provide an estimate for a status of the wireless device at a particular instant using the observational data. 
     
     
         14 . The computer system of  claim 1 , wherein the first and second applications are temporally adjacent. 
     
     
         15 . The computer system of  claim 1 , wherein the temporally adjacent applications include a first application executing during a first time period and a second application executing during a second time period, the second time period starting upon termination of the first time period. 
     
     
         16 . A computer system to process observational data received from a wireless device, comprising:
 a memory including machine readable instructions; and   a processor to execute the instructions to:
 process the observational data to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data; 
 build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless device; and 
 apply the behavior model to calculate a probability of using a second application based on detected usage of a first application. 
   
     
     
         17 . (canceled) 
     
     
         18 . (canceled) 
     
     
         19 . (canceled) 
     
     
         20 . (canceled) 
     
     
         21 . (canceled) 
     
     
         22 . (canceled) 
     
     
         23 . (canceled) 
     
     
         24 . (canceled) 
     
     
         25 . (canceled) 
     
     
         26 . (canceled) 
     
     
         27 . (canceled) 
     
     
         28 . (canceled) 
     
     
         29 . (canceled) 
     
     
         30 . (canceled) 
     
     
         31 . A method to process observational data received from a wireless device, the method comprising:
 processing, with a processor, observational data from the wireless device to identify temporally adjacent applications to generate usage metric data, the observational data including application usage data;   building, with the processor, a behavior model based on the identified temporally adjacent applications, the behavior model describing user behaviors associated with the wireless device; and   applying, with the processor, the behavior model to predict a usage duration of a second application in response to usage of a first application.   
     
     
         32 . The method of  claim 31 , further including calculating a statistical model of usage behavior to provide a status estimate for the wireless device at a particular instant using the observational data. 
     
     
         33 . The method of  claim 31 , wherein the first and second applications are temporally adjacent. 
     
     
         34 . (canceled) 
     
     
         35 . (canceled) 
     
     
         36 . (canceled) 
     
     
         37 . A tangible computer readable storage device or storage disk comprising instructions that, when executed, cause a machine to, at least:
 process observational data to identify temporally adjacent applications to generate usage metric data, the observational data from a wireless device, the observational data including application usage data;   calculate a statistical model of usage behavior to provide a status estimate for the wireless device at a particular instant using the observational data; and   apply the behavior model to calculate a usage duration of a second application in response to usage of a first application.   
     
     
         38 . A computer readable storage device or storage disk as defined in  claim 37 , wherein the instructions further cause the machine to calculate a statistical model of usage behavior to provide a status estimate for the wireless device at a particular instant using the observational data. 
     
     
         39 . (canceled) 
     
     
         40 . (canceled)