Real time customer recategorization
A computer-implemented method for responding to user behaviors includes storing category specifications for a plurality of categories configured to characterize users, storing categories for users in a computer network system, detecting behaviors of a user in real time, and determining in real time if the behaviors of the user is within a first category specification associated with a first category that the user is tagged with. If the behaviors of the user exceed the first category specification, the method assigns a second category to the user in real time in response to the detected user behaviors.
1. A computer-implemented method for improving data accuracies in a computer memory in real time, comprising:
defining a first category bound by a first numeric range in a data structure in a computer network system, wherein the first numeric range is defined by a first limit and a second limit;
defining a second category bound by a second numeric range in the data structure, wherein the second numeric range is defined by a third limit and a fourth limit, wherein the second numeric range is different from the first numeric range, wherein a first user is tagged with the first category;
automatically detecting an action of the first user in real time by a computer server in the computer network system, wherein the action is associated with the second numeric range;
automatically calculating a probabilistic function in real time by a computer processor in the computer network system in part based on the action of the first user, which produces a probability, wherein the probabilistic function is dependent on the first limit, the second limit, the third limit, and the fourth limit;
automatically determining if the probability is above a threshold value;
if the probability is above a threshold value, automatically tagging the first user with the second category by the computer network system; and
manufacturing a personalized product for the first user in accordance with the second category, comprising:
printing the personalized product for the first user in accordance with the second category; and
finishing the personalized product.
2. The computer-implemented method of claim 1 , wherein the action of the first user is quantified by a value between the third limit and the fourth limit.
3. The computer-implemented method of claim 1 , wherein the first numeric range and the second numeric range are respectively characterized in multiple dimensions.
4. The computer-implemented method of claim 3 , wherein the first numeric range is defined by more than two limits, wherein the second numeric range is defined by more than two limits.
5. The computer-implemented method of claim 1 , wherein the first numeric range and the second numeric range are not overlapping with each other.
6. The computer-implemented method of claim 1 , wherein the action of the first user is detected in a data source external to the computer network system.
7. The computer-implemented method of claim 6 , wherein the action of the first user is detected from multiple platforms, the computer-implemented method further comprising:
joining identities of the first user from the multiple platforms.
8. The computer-implemented method of claim 1 , further comprising:
in response to the step of automatically assigning the first user to be tagged with the second category, sending the first user a message associated with the second category by the computer network system.