การพัฒนาระบบแนะนำอาหารตามอารมณ์ผู้ใช้ โดยใช้ Decision Tree Classifier: Developing a Food Recommendation System Based  on User's Mood Using a Decision Tree Classifier

Patipan Baichit; Praphatsorn Obsang; Wimonsiri Bootim; Mongkol  Na Lampoon

Authors

Patipan Baichit Information System and Digital Business Innovation, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi
Praphatsorn Obsang Information System and Digital Business Innovation, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi
Wimonsiri Bootim Information System and Digital Business Innovation, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi
Mongkol Na Lampoon Information System and Digital Business Innovation, Faculty of Business Administration and Information Technology, Rajamangala University of Technology Suvarnabhumi, Nonthaburi

Keywords:

Food Menu Recommendation System, User Emotion, Decision Tree Classifier

Abstract

This research aimed to 1) analyze and design a website-based emotional food recommendation system, 2) recommend food menus according to users’ emotional states by applying a Decision Tree Classifier, 3) evaluate the system performance by experts, and 4) assess user satisfaction with the prototype system.The system was developed using PHP with the Laravel Framework, JavaScript, and a MySQL database. The results showed that the system performance evaluation by three experts was at a high level ( = 4.40, S.D. = 0.56), while user satisfaction from 30 users was at a very high level ( = 4.55, S.D. = 0.69), indicating that the system can be effectively applied in practice.

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