An auxiliary recommendation system for repetitively purchasing items in E-commerce

In the recommendation system suitable for products showing repetitive purchase pattern, we can use the repeat count of purchase for each product per user as a recommendation criteria. We implemented a system that recommends Products by user-based Collaborative Filtering and item-based Collaborative Filtering method, and recommends Associate Products analyzed by Association Rules.