System and method for behavioural and contextual data analytics
First Claim
1. A computer system to process observational data received from wireless devices, comprising:
- a memory including machine readable instructions; and
a processor to execute the instructions to;
obtain observational data from the wireless devices, the observational data including application usage data;
process the observational data to identify temporally adjacent applications to generate usage metric data; and
transmit advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications, wherein the processor is to build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless devices, wherein the processor is to apply the behavior model to predict a usage duration of a second application in response to usage of a first application.
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Accused Products
Abstract
A server arrangement for managing observation data of wireless devices, including data input logic for obtaining observation data from wireless devices, the obtained data including behavioral and contextual raw data relative to the wireless devices, data mining logic for establishing a number of derived data elements, on the basis of processing and analyzing the obtained observation and optional supplementary data, the processing and analyzing incorporating aggregation procedures. At least one derived data element includes usage metrics with contextual dimension relative to applications or other features of wireless devices and users, data storage for storing the obtained data and the number of derived information elements, and a data distribution logic providing derived data. The distribution logic may serve a data query constructed by an external entity through provision of derived information from derived data elements according to the query parameters. A corresponding method for execution by the server arrangement is presented.
83 Citations
24 Claims
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1. A computer system to process observational data received from wireless devices, comprising:
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a memory including machine readable instructions; and a processor to execute the instructions to; obtain observational data from the wireless devices, the observational data including application usage data; process the observational data to identify temporally adjacent applications to generate usage metric data; and transmit advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications, wherein the processor is to build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless devices, wherein the processor is to apply the behavior model to predict a usage duration of a second application in response to usage of a first application.
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2. A computer system to process observational data received from wireless devices, comprising:
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a memory including machine readable instructions; and a processor to execute the instructions to; obtain observational data from the wireless devices, the observational data including application usage data; process the observational data to identify temporally adjacent applications to generate usage metric data; and transmit advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications, wherein the processor is to build a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless devices, wherein the processor is to apply the behavior model to calculate a probability of using a second application based on detected usage of a first application. - View Dependent Claims (3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A method to process observational data received from wireless devices, comprising:
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obtaining, with a processor, observational data from the wireless devices, the observational data including application usage data; processing the observational data to identify temporally adjacent applications to generate usage metric data; transmitting advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications; building a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless devices; 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.
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18. A method to process data received from wireless devices, comprising:
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obtaining, with a processor, observational data from the wireless devices, the observational data including application usage data; processing the observational data to identify temporally adjacent applications to generate usage metric data; transmitting advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications; building a behavior model based on the identified temporally adjacent applications, the behavior model to describe user behaviors associated with the wireless devices; and applying, with the processor, the behavior model to calculate a probability of using a second application based on detected usage of a first application. - View Dependent Claims (19, 20, 21)
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22. A tangible computer readable storage device or storage disk comprising instructions that, when executed, cause a machine to, at least:
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process observational data to identify temporally adjacent applications to generate usage metric data, the observational data obtained from wireless devices, the observational data including application usage data; transmit advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications; calculate a statistical model of usage behavior to provide a status estimate for the wireless devices 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.
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23. A computer readable storage device or storage disk comprising instructions that, when executed, cause a machine to, at least:
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process observational data to identify temporally adjacent applications to generate usage metric data, the observational data obtained from wireless devices, the observational data including application usage data; transmit advertisements to the wireless devices based on the usage metric data derived from the temporally adjacent applications; and calculate a statistical model of usage behavior to provide a status estimate for the wireless devices at a particular instant using the observational data; and apply the behavior model to calculate a probability of using a second application based on detected usage of a first application. - View Dependent Claims (24)
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Specification