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A Music Recommender System for m-CRM: Collaborative Filtering using Web Mining and Ordinal Scale

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2008, 13(1), pp.45-54
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

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1KAIST정보미디어경영대학원

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ABSTRACT

As mobile Web technology becomes more increasingly applicable, the mobile contents market, especially the music downloading for mobile phones, has recorded remarkable growth. In spite of this rapid growth, customers experience high levels of frustration in the process of searching for desired music contents. It affects to a re-purchasing rate of customers and also, music mobile content providers experience a decrease in the benefit. Therefore, in aspects of a customer relationship management (CRM), a new way to increase a benefit by providing a convenient shopping environment to mobile customers is necessary.As an solution for this situation, we propose a new music recommender system to enhance the customers’ search efficiency by combining collaborative filtering with mobile web mining and ordinal scalebased customer preferences. Some experiments are also performed to verify that our proposed system is more effective than the current recommender systems in the mobile Web.

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