TY - JOUR AU - Kayar, Gizem AU - Sümer, Tolga AU - Soytürk, Furkan AU - Doruk, Galip Erkin AU - Çobanoğlu, Cihan PY - 2019/12/12 Y2 - 2024/03/29 TI - Explore Music Data to Enhance Customer Satisfaction JF - e-Review of Tourism Research JA - eRTR VL - 17 IS - 3 SE - Late Breaking Results DO - UR - https://ertr-ojs-tamu.tdl.org/ertr/article/view/527 SP - AB - Restaurant-like service areas have been adapting different technologies to enhance customer satisfaction for many years. In this LBR, we share our research idea about how to integrate music data and its analysis for this purpose. In the first part, we propose a voting system to carry your favorite song to the top of the list to be played next in your place. In the second part, we propose a recommendation system to find a place that suits your music requirements in your close proximity. Our preliminary survey results for the first part and the data analysis results for the second part shows that our approach has a promising potential for customer satisfaction. ER -