首页|Research on Machine Learning Detailed by Researchers at Xi’an Jiaotong Universit y (The relationship between attribute performance and customer satisfaction: an interpretable machine learning approach)
Research on Machine Learning Detailed by Researchers at Xi’an Jiaotong Universit y (The relationship between attribute performance and customer satisfaction: an interpretable machine learning approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in artific ial intelligence. According to news reporting out of Xi’an, People’s Republic of China, by NewsRx editors, research stated, “Understanding the relationship betw een attribute performance (AP) and customer satisfaction (CS) is crucial for the hospitality industry.” Financial supporters for this research include National Key Research And Develop ment Program of China; National Natural Science Foundation of China. Our news journalists obtained a quote from the research from Xi’an Jiaotong Univ ersity: “However, accurately modeling this relationship remains challenging. To address this issue, we propose an interpretable machine learning-based dynamic a symmetric analysis (IML-DAA) approach that leverages interpretable machine learn ing (IML) to improve traditional relationship analysis methods. The IML-DAA empl oys extreme gradient boosting (XGBoost) and SHapley Additive exPlanations (SHAP) to construct relationships and explain the significance of each attribute. Foll owing this, an improved version of penalty-reward contrast analysis (PRCA) is us ed to classify attributes, whereas asymmetric impact-performance analysis (AIPA) is employed to determine the attribute improvement priority order. A total of 2 9,724 user ratings in New York City collected from TripAdvisor were investigated . The results suggest that IML-DAA can effectively capture non-linear relationsh ips and that there is a dynamic asymmetric effect between AP and CS, as identifi ed by the dynamic AIPA model.”
Xi’an Jiaotong UniversityXi’anPeople ’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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