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Impact of Sentimental and Contextual Factors on the Acceptance of Music Recommender Systems

음악추천시스템의 수용성에 개인감정과 상황이 미치는 영향

  • 박경수 (호서대학교 벤처전문대학원 IT응용기술학과) ;
  • 문남미 (호서대학교 벤처전문대학원 IT응용기술학과)
  • Received : 2011.03.24
  • Accepted : 2011.04.27
  • Published : 2011.05.28

Abstract

A recommender system is a personalized decision support tool to suggest suitable products in proper manners for the benefits of both suppliers and consumers, with the assumption of full understating of consumers' needs and preferences. However, a substantial number of studies have focused on making recommender systems more accurate and efficient. Whereas, there have been a few studies on consumers' needs and preferences under their own contexts to accept recommender systems. To this end, this study attempted to find out the impact of personal sentiments and contexts on the willingness to accept music recommender systems based on the simplified "Technology Acceptance Model" and some verified variables from the precedent studies. For the study, we conducted an empirical study using surveys and High-Order Structural Equation Model (SEM). The outcomes of the research was affirmative to the research hypothesis that the personal sentiments and contexts positively affect the acceptance of the music recommender systems.

Keywords

Recommender Systems;User Acceptance;Technology Acceptance Model;Personal Sentiments;Personal Contexts

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