SEGMENT-BASED SELF-LEARNING METHOD AND SYSTEM

摘要

Segment-based, self-learning systems and methods that allow the formation and continued refinement of consumer segment profiles that originate from demographic data and provide recommendations to consumers on content offerings, advertisements, products for sale, promotions, etc. In one embodiment, the demographic data is U.S. census data, wherein zip codes can be classified into one of sixty-eight predefined demographic segments. The segments can be divided into sub-segments based upon age, gender, product category, or other data that can include profession, family size, income, etc. From the segments, knowledge rules can be formed and refined by identifying consumers by segment, tracking associated purchasing behaviors, and continually adapting the knowledge rules by segments to reflect consumer behavior. In one embodiment, probability measures can be computed and ordered according to segment and/or sub-segment to determine those recommendations likely to be accepted by consumers within a respective segment.