연구동향 분석

혼합 필터링 기반의 영화 추천 시스템에 관한 연구

정인용 양새동 정회경 Jeong, In-Yong Yang, Xitong Jung, Hoe-Kyung 2015년

논문상세정보
인용/피인용
' 혼합 필터링 기반의 영화 추천 시스템에 관한 연구' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • cold-start
  • collaborativefilteringtechnique
  • content-basedfilteringtechnique
  • hybridfilteringtechnique
  • recommend system
  • 내용 기반의 필터링 기법
  • 추천 시스템
  • 협업 필터링 기법
  • 혼합 필터링 기법
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
282 0

0.0%

' 혼합 필터링 기반의 영화 추천 시스템에 관한 연구' 의 참고문헌

  • Using content-based filtering for recommendation
    Van Meteren, Robin Proceedings of the Machine Learning in the New Information Age: MLnet/ECML2000 Workshop [2000]
  • Unifying collaborative and content-based fil tering
    Basilico, J. Hofmann, T. Proceedings of the twenty-first international conference on Machine learning, 2004 [2004]
  • Learning multiple-question decision trees for cold-start recommendation
    Sun, Mingxuan Proceedings of the sixth ACM international conference on Web search and data mining [2013]
  • Item-based collaborative filtering recommendation algorithms
    Sarwar, Badrul Proceedings of the 10th international conference on World Wide Web [2001]
  • Item-based collaborative filtering recommendation algorithm combining item category with interestingness measure
    Wei, Suyun Computer Science & Service System (CSSS), 2012 [2012]
  • Improving collaborative filteringbased recommender systems results using Pareto dominance
    Ortega, Fernando Information Sciences : an International Journal 239 : 50 ~ 61 [2013]
  • Evaluating hybrid music recommender systems
    Hornung, Thomas Web Intelligence (WI) and Intelligent Agent Technologies (IAT) 1 [2013]
  • A hybrid fuzzy-based personalized recommender system for telecom products/services
    Zhang, Zui Information Sciences 235 : 117 ~ 129 [2013]