AUTOMATED PRODUCT PERSONALIZATION BASED ON MULTIPLE SOURCES OF PRODUCT INFORMATION

摘要

In an approach to customer-product matching, a computing device receives textual information related to a product. The computing device generates a set of product personality traits based on analyzing the textual information by a natural language processor. The computing device identifies a set of customer personality traits for a target customer group. The computing device determines whether a degree of correlation between a first trait from the set of product personality traits and a second trait from the set of customer personality traits meets or exceeds a predetermined threshold value. Responsive to determining that the degree of correlation does not meet or exceed a predetermined threshold value, the computing device revises the textual information based on a psycholinguistic dictionary. The computing device continues to revise the set of product personality traits until the degree of correlation meets or exceeds the predetermined threshold value.