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

摘要

The present invention relates to a product purchase-related recommendation system and method using a collaborative filter algorithm, the step of storing product information for a plurality of products, and for existing customers who have purchased at least one of the plurality of products for a predetermined period. Storing existing customer information, generating purchase data based on whether or not the existing customer has purchased each product for each of the plurality of products and the frequency of purchase, and a result of applying a positive or negative Pearson correlation to the purchase data And calculating a recommendation score corresponding to a purchase possibility of a new customer for a predetermined product. Accordingly, when calculating a recommendation score for a given product, it is possible to improve recommendation performance by considering the contribution ratio of data to each Pearson correlation when the existing customer purchased the product and when not.