CROWD SOURCING AND MACHINE LEARNING BASED SIZE MAPPER

摘要

Embodiments for obtaining size and brand information for a plurality of descriptors that include item types and that are associated with user profiles. The descriptors, size, and brand information are obtained by crowdsourcing and by data mining transaction data. Low confidence machine learned data may be boosted by crowdsourcing through targeted questions. Co-occurrences among descriptors are determined and categorized. Signal strength and confidence scores are calculated for the co-occurrences. Relationships between sizes and brands for the item types are calculated and confidence factors for the relationships are calculated.