A Recommendation System in E-Commerce with Profit-Support Fuzzy Association Rule Mining (P-FARM)

E-commerce is snowballing with advancements in technology, and as a result, understanding complex transactional data has become increasingly important. To keep customers engaged, e-commerce systems need to have practical product recommendations. Some studies focused on finding the most frequent items recommend customers. However, this approach fails consider profitability, crucial aspect for companies. From researcher’s perspective, study introduces novel method called Profit-supported Association Rule Mining Fuzzy Theory (P-FARM), which goes beyond just recommending considers company’s profit while making suggestions. P-FARM an advanced mining technique that creates association rules by profitable item sets. practitioners’ standpoints, helps companies make better decisions providing them more products fewer rules. The results of show can be powerful tool improving sales maximizing businesses.