User segmentation of online music services using fuzzy clustering |
| |
| Institution: | 1. Arul Anandar College (Autonomous), Karumathur, 625514, India;2. PSNA College of Engineering, Dindigul, 624622, India;1. State Key Laboratory of Advanced Welding Production Technology, Harbin Institute of Technology, Harbin 150001, China;2. School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, China;3. Key Laboratory of Micro-Systems and Micro-Structures Manufacturing, Harbin Institute of Technology, Ministry of Education, Harbin 150001, China;4. School of Metallurgy and Materials, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK |
| |
| Abstract: | Given the rapid growth of the Internet, companies are trying to take advantage of its offerings, differentiate themselves from their competitors and be more competitive. These objectives can be achieved by providing personalized and enhanced customer service. As different people can use an online service for different reasons, fuzzy clustering can be useful to identify homogenous groups of potential users and to develop customized strategies for each group, thus enabling companies to increase the personalization of their services and to improve their customer service. This study focuses on the online music industry and presents an application of fuzzy clustering. The results show that there exist homogeneous groups among the potential users of an online music service and that there are differences among the groups with respect to their attitudes, interests, and opinions about the service and computers. |
| |
| Keywords: | |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
