IE interfaces (산업공학)

Korean Institute of Industrial Engineers (대한산업공학회)
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Performance Improvement of a Collaborative Recommendation System using Feature Selection

속성추출을 이용한 협동적 추천시스템의 성능 향상

  • 유상종 (동국대학교산업시스템공학과) ;
  • 권영식 (동국대학교산업시스템공학과)
  • Received : 20031200
  • Accepted : 20051200
  • Published : 2006.03.31
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Abstract

One of the problems in developing a collaborative recommendation system is the scalability. To alleviate the scalability problem efficiently, enhancing the performance of the recommendation system, we propose a new recommendation system using feature selection. In our experiments, the proposed system using about a third of all features shows the comparable performances when compared with using all features in light of precision, recall and number of computations, as the number of users and products increases.

Keywords

References

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