Purpose: The purpose of this study is to understand the effect of the unique product recommendation system on customer satisfaction. Research design, data and methodology: The survey method used the self-recording way in which the respondents selected for the study and distributed 300 questionnaires, and with due personal care, researchers collected all the distributed questionnaires. Results: The result implies that the characteristics of the product recommendation system should be more secure and developed. Conclusions: The aspects of the product recommendation system were selected as factors of price fairness, accuracy, and quality through previous studies, and the empirical analysis of the effect of the characteristics of the product recommendation system on customer satisfaction was summarized as follows. Among the attributes of the product recommendation system, the attributes of price fairness, accuracy, and quality affect customer satisfaction. Among them, the beta value of quality was the highest, and the effect of quality was the largest among the three factors. Based on the results of the study, the implications for the characteristics of the product recommendation system are summarized as follows. The aspects of the product recommendation system have a positive effect on customer satisfaction, so it is necessary to fill the needs of consumers based on the survey focused on quality

Abstract
1. Introduction
2. Theoretical Background
    2.1. Previous studies on internet shopping malls
    2.2. Previous studies on the characteristics of the product recommendation system
    2.3. Preceding research on customer satisfaction
3. Research design
    3.1. Research hypotheses
    3.2. Measurement and Definition of Variables
    3.3. Sample design and analysis method
4. Empirical analysis
    4.1. General characteristics of the sample
    4.2. Reliability and Validity Analysis of Measurement
    4.3. Hypothesis verification
5. Conclusions
References

• Ba-Da CHO(Department of Medical IT and Marketing, Eulji University)
• Rajasekhara Mouly POTLURI(College of Business, Al Ghurair University)
• Myoung-Kil YOUN(Department of Medical IT and Marketing, Eulji University) Corresponding Author