Patent ID: 7139723
Filing Date: 2006-11-21
Classification: G06Q,Y10S

Abstract:
1. A method comprising: collecting at least one dynamic dataset representing human behavior, and at least one static dataset representing human characteristics, wherein the dynamic dataset and the static dataset share at least one common characteristic and have an assumed relationship, wherein the dynamic dataset and the static dataset are collected without knowing individual-specific demographic information; selecting with a computer processor at least one subset of the dynamic dataset and the static dataset that share at least one common characteristic; expressing the assumed relationship between the dynamic dataset and the static dataset as a mathematical assumption; defining an error function which describes the dynamic dataset and the static dataset in terms of the mathematical assumption; performing at least one fitting procedure to calculate values that define the mathematical assumption; performing at least one fitting procedure to account for errors in the assumed relationship; and using the computer processor to store the mathematical assumption in a database as a rule system between the dynamic dataset and the static dataset.