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경영정보학연구 = The journal of MIS research v.16 no.4, 2006년, pp.239 - 254  
본 등재정보는 저널의 등재정보를 참고하여 보여주는 베타서비스로 정확한 논문의 등재여부는 등재기관에 확인하시기 바랍니다.

이동통신 환경 하에서의 고객관계관리를 위한 지역광고 추천 모형
Location-based Advertisement Recommendation Model for Customer Relationship Management under the Mobile Communication Environment

안현철    (KAIST 테크노경영대학원   ); 한인구    (KAIST 테크노경영대학원   ); 김경재    (동국대학교 경영정보학과  );
  • 초록

    Location-based advertising or application has been one of the drivers of third-generation mobile operators' marketing efforts in the past few years. As a result, many studies on location-based marketing or advertising have been proposed for recent several years. However, these approaches have two common shortcomings. First. most of them just suggested the theoretical architectures, which were too abstract to apply it to the real-world cases. Second, many of these approaches only consider service provider (seller) rather than customers (buyers). Thus, the prior approaches fit to the automated sales or advertising rather than the implementation of CRM. To mitigate these limitations, this study presents a novel advertisement recommendation model for mobile users. We call our model MAR-CF (Mobile Advertisement Recommender using Collaborative Filtering). Our proposed model is based on traditional CF algorithm, but we adopt the multi-dimensional personalization model to conventional CF for enabling location-based advertising for mobile users. Thus, MAR-CF is designed to make recommendation results for mobile users by considering location, time, and needs type. To validate the usefulness of our recommendation model. we collect the real-world data for mobile advertisements, and perform an empirical validation. Experimental results show that MAR-CF generates more accurate prediction results than other comparative models.


  • 주제어

    Mobile Recommender System .   Location-based Advertising .   Collaborative Filtering .   Needs Type.  

  • 참고문헌 (20)

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