Abstract
Managing customer’s happiness has emerged as a significant business trend, particularly in the restaurant industry. The purpose of this study is to determine how K-Means algorithms can be used to measure customer satisfaction at a family restaurant in Kolhapur. A survey is carried out related to services and ambiguous at the restaurant. What makes restaurants popular is the main focus of the survey. Data collected through online survey are clustered using the elbow method as well as the K-Means clustering. This study presents the results of the customer satisfaction measurement and offers improvement and recommendations to the concerned restaurant.
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Diwane, R.B., Oza, K.S., Desai, V.P. (2023). Restaurant Quality Analysis: A Machine Learning Approach. In: Suma, V., Lorenz, P., Baig, Z. (eds) Inventive Systems and Control. Lecture Notes in Networks and Systems, vol 672. Springer, Singapore. https://doi.org/10.1007/978-981-99-1624-5_10
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DOI: https://doi.org/10.1007/978-981-99-1624-5_10
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