Automatically extracting profile feature attribute data from event data

A method, comprising:

• receiving a set of event data that describe actions of users;
• receiving a feature associated with a profiling technique, wherein the feature comprises a variable that represents a characteristic of users in the event data;
• obtaining a set of bins that includes the first bin and the second bin;
• determining that a numerical value for the feature for a particular user from the set of event data is greater than a first numerical value corresponding to the first bin, is less than a second numerical value corresponding to the second bin, and is not equal to any numerical value corresponding to any bin in the set of bins;
• in response to determining that the numerical value of the feature is greater than the first numerical value corresponding to the first bin, is less than the second numerical value corresponding to the second bin, and is not equal to any numerical value corresponding to any bin in the set of bins, determining a first attribute that corresponds to an amount that the numerical value for the feature corresponds to the first numerical value and a second attribute that corresponds to an amount that the numerical value for the feature corresponds to the second numerical value;
• and
• creating a user record corresponding to the user that indicates the first attribute for the first bin and the second attribute for the second bin.

A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

• receiving a set of event data that describe actions of users;
• receiving a feature associated with a profiling technique, wherein the feature comprises a variable that represents a characteristic of users in the event data;
• obtaining a set of bins that includes the first bin and the second bin;
• determining that a numerical value for the feature for a particular user from the set of event data is, greater than a first numerical value corresponding to the first bin, is less than a second numerical value corresponding to the second bin, and is not equal to any numerical value corresponding to any bin in the set of bins;
• in response to determining that the numerical value of the feature is greater than the first numerical value corresponding to the first bin, is less than the second numerical value corresponding to the second bin, and is not equal to any numerical value corresponding to any bin in the set of bins, determining a first attribute that corresponds to an amount that the numerical value for the feature corresponds to the first numerical value and a second attribute that corresponds to an amount that the numerical value for the feature corresponds to the second numerical value;
• and
• creating a user record corresponding to the user that indicates the first attribute for the first bin and the second attribute for the second bin.