[This article belongs to Volume - 57, Issue - 10]
Gongcheng Kexue Yu Jishu/Advanced Engineering Science
Journal ID : AES-24-11-2025-884

Title : Enhanced Consumer Recommendation in a Farmer-to-Consumer Marketplace through Enhance K-Nearest Neighbor (k-NN) Item-Based Analysis
Grace Lhyn R. Legaste,

Abstract : The Philippines' agriculture, particularly crop cultivation, plays a crucial role in the economy. Still, many farmers face poverty, with a significant portion struggling due to a lack of education and resources. This leads to the rise of middlemen who buy crops from the farmers at low prices and sell them at a much higher price. Also, even though agricultural production has improved, farmers in the country still have trouble getting goods to consumers directly, limiting their income and access to fair prices. To solve these problems, the researcher developed a web-based farmer-to-consumer marketplace designed to facilitate direct transactions between farmers and consumers, limiting the involvement of middlemen. It applied an enhanced item-based k-nearest neighbor (k-NN) algorithm with weighted metrics (ratings, purchases, and searches) to generate personalized product recommendations for consumers to help them make better decisions in terms of product reducing decision fatigue and giving them direct access to fresh crops.