The International Arab Journal of Information Technology (IAJIT)


Mining Consumer Knowledge from Shopping Experience: TV Shopping Industry

TV shopping becomes far much popular in recent years. TV nowadays is almost everywhere. People watch TV; meanwhile, they are more and more accustomed to buy goods via TV shopping channel. Even in recession, it is thriving and has become one of the most important consumption modes. This study uses cluster analysis to identify the profiles of TV shopping consumers. The rules between TV Shopping spokespersons and commodities from consumers are recognized by using association analysis. Depicting the marketing knowledge map of spokespersons, the best endorsement portfolio is found out to make recommendations. By the analysis of spokespersons, period, customer profiles and products, fourbusiness modes of TV shopping are proposed for consumers: new product, knowledge, low price and luxury product; the related recommendations are also provided for the industry reference.

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[29] Zaafouri A., Sayadi M., and Fnaiech F., A Vision Approach for Expiry Date Recognition using Stretched Gabor Features, The International Arab Journal of Information Technology, vol. 12, no. 5, pp. 448- 455, 2015. Chih-HaoWen is an Assistant Professor of Department of Logistics Management at the National Defense University. His papers were published in various journals such as: Expert Systems With Applications, Maritime Economics and Logistics, IEEE Transactions on Systems, Man, and Cybernetics, Lecture Notes in Computer Science, International Journal of Data Warehousing and Mining, Journal of National Defense Management, National Defense Journal etc. His current other research interests include data mining, recommendation system, business intelligent, internet of things, information management, database managementand general management. Shu-Hsien Liao is a Professor in the Department of Management Sciences and Decision Making, Tamkang University, Taiwan. His research interests include decision theory, information management, knowledge management, database management, human resource management, technology management, marketing management and general management. His papers were published in various journals such as: European Journal of Operational Research, Journal of the Operational Research Society, Expert Systems With Applications, Technovation, Knowledge Management Research and Practices, Asia Paci c Management Review, Pan-paci c Management Review, Journal of Human Resource Management etc. Shu-Fang Huang is a Master of Business Administration. She was graduated from the Department of Management Sciences and Decision Making, Tam-Kang University, Taiwan. Her research interests include data mining, consumer knowledge extraction and customer shopping behavior.