The Development of Mobile Application for Promoting Decision in Selling and Buying the Livestock Products of Phetchabun Province by Integrating Machine Learning and Ontology

Abstract

   This research aimed 1) to create the processing method of the machine learning on semantic ontology in selling and buying the livestock products and 2) to develop the mobile application for promoting decision making in selling and buying the livestock products by integrating the machine learning and ontology. The research operation consisted of 4 steps; collecting the datasets, developing the mobile application by the machine learning and the ontology, assessing the accuracy of predicting the products’ promotion by Confusion matrix technique, and assessing the  30 users’ satisfaction to the mobile application. This research found that the datasets for building the classification models consisted of 3 sets; production dataset, product selling and buying dataset, and customers’ preference   to the product. The mobile application’s functions consisted of 4 parts; classifying and recommending the product selling and buying, product catalogue, shopping cart, and payment. The system has accuracy in classifying the products’  promotion  at 85.7%.
The users have satisfaction to the mobile application at high level. This research improved the traditional electronic commerce software and helped the business owners and customers to make decision in the business transaction process based on the artificial intelligence system.