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Recommendation system for supporting self-directed learning on e-learning marketplace

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2010, 15(2), pp.135-146
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

권병일 1 문남미 2

1서울벤처정보대학원대학교 디지털미디어학과
2호서대학교

Accredited

ABSTRACT

In this paper, we propose an Recommendation System for supporting self-directed learning on e-learning marketplace. The key idea of this system is recommendation system using revised collaborative filtering to support marketplace. Exisiting collaborative filtering method consists of 3 stages as preparing low data, building familiar customer group by selecting nearest neighbor, creating recommendation list. This study designs recommendation system to support self-directed learning by using collaborative filtering added nearest neighbor learning course that considered industry and learning level. This service helps to select right learning course to learner in industry. Recommendation System can be built by many method and to recommend the service content including explicit properties using revised collaborative filtering method can solve limitations in existing content recommendation.

Citation status

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