A RECOMMENDATION SYSTEM FOR PRODUCT PURCHASE USING COLLABORATIVE FILTERING ALGORISM AND METHOD THEREOF

摘要

The present invention relates to a system and method for recommending products related to product purchase using a collaborative filter algorithm, storing product information for a plurality of products, and for an existing customer who purchases at least one of the plurality of products for a predetermined period of time. Storing existing customer information, generating purchase data based on purchase and frequency of purchase of each existing product for each of the plurality of products, and applying positive or negative Pearson correlation to the purchase data And calculating a recommendation score corresponding to the purchase possibility of a new customer for a given product based on the above. Accordingly, when calculating a recommendation score for a given product, if an existing customer purchases the corresponding product or not, there is an effect of improving recommendation performance by considering the ratio of data contribution to each Pearson correlation.