US 10,541,890 B1Granted

Windowed approach to analytics processing

AssigneeAmazon Technologies, Inc.

InventorsRui Chen, Geoffrey Ryan Dworkin, Douglas R. Hains, Brent Russell Smith, Serguei B. Stepaniants, Sen Zhao

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Abstract

Described herein is a system and method for processing analytics data in a windowed manner. In some embodiments, each user of a number of users is assigned to a group (e.g., a treatment group or a control group). The system may monitor each user to obtain metric data associated with each of the users over the course of an experiment. In some embodiments, the system may identify an indication of a trigger event with respect to each user. For example, the indication of the trigger event may comprise a time at which an event occurred for that user. The system may identify and compile data from the metric data for each of the users with respect to the trigger event. In some embodiments the metric data may be aggregated for each of the users with respect to a window or timespan positioned relative to the identified trigger event.

Claims20

Dependent claims

A computer-implemented method, comprising:

receiving requests in relation to a plurality of users;
prior to obtaining metric data related to the plurality of users, determining at least two groups of users for the plurality of users;
obtaining the metric data related to the plurality of users, the metric data derived from an interaction of each user of the plurality of users with a presentation of data on respective user devices;
identifying, within the metric data, an indication of an occurrence of a trigger event for each user of the plurality of users;
determining, for individual users of the plurality of users, a subset of the metric data positioned in a common longitudinal relation to the trigger event, wherein the common longitudinal relation is represented within a longitudinal-oriented window that is associated with the plurality of users, the longitudinal-oriented window representing a time period from the occurrence of the trigger event and including one or more values, the one or more values being associated with subsequent events that follow the trigger event within the time period;
compiling data from each subset of the metric data for the plurality of users;
updating the one or more values within the longitudinal-oriented window to reflect the compiled data based on the determined group;
and
determining, based on the one or more values within the longitudinal-oriented window, a difference between the at least two groups, the determined difference between the at least two groups being used to improve a particular interaction of a user of the plurality of users with respect to a particular presentation of data on a user device of the user.

6 more elements

A system comprising:

a processor;
and
a memory including instructions that, when executed with the processor, cause the system to, at least:
receive requests in relation to a plurality of users;
prior to obtaining metric data related to the plurality of users, determine at least two groups of users for the plurality of users;
obtain the metric data related to the plurality of users, the metric data derived from an interaction of each user of the plurality of users with a presentation of data on respective user devices;
identify, within the metric data, an indication of an occurrence of a trigger event for each user of the plurality of users;
determine, for individual users of the plurality of users, a subset of the metric data positioned in a common longitudinal relation to the trigger event, wherein the common longitudinal relation is represented within a longitudinal-oriented window that is associated with the plurality of users, the longitudinal-oriented window representing a time period from the occurrence of the trigger event and including one or more values, the one or more values being associated with subsequent events that follow the trigger event within the time period;
compile data from each subset of the metric data for the plurality of users;
update the one or more values within the longitudinal-oriented window to reflect the compiled data based on the determined group;
and
determine, based on the one or more values within the longitudinal-oriented window, a difference between the at least two groups, the determined difference between the at least two groups being used to improve a particular interaction of a user of the plurality of users with respect to a particular presentation of data on a user device of the user.

9 more elements

A non-transitory computer readable medium storing specific computer-executable instructions that, when executed by a processor, cause a computer system to at least:

receive requests in relation to a plurality of users;
prior to obtaining metric data related to the plurality of users, determine at least two groups of users for the plurality of users;
obtain the metric data related to the plurality of users, the metric data derived from an interaction of each user of the plurality of users with a presentation of data on respective user devices;
identify, within the metric data, an indication of an occurrence of a trigger event for each user of the plurality of users;
determine, for individual users of the plurality of users, a subset of the metric data positioned in a common longitudinal relation to the trigger event, wherein the common longitudinal relation is represented within a longitudinal-oriented window that is associated with the plurality of users, the longitudinal-oriented window representing a time period from the occurrence of the trigger event and including one or more values, the one or more values being associated with subsequent events that follow the trigger event within the time period;
compile data from each subset of the metric data for the plurality of users;
update the one or more values within the longitudinal-oriented window to reflect the compiled data based on the determined group;
and
determine, based on the one or more values within the longitudinal-oriented window, a difference between the at least two groups, the determined difference between the at least two groups being used to improve a particular interaction of a user of the plurality of users with respect to a particular presentation of data on a user device of the user.

6 more elements

Dependencies are inferred from the claim text.