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Volumn 893, Issue , 2012, Pages 8-14

Enhancement of the neutrality in recommendation

Author keywords

Collaborative filtering; Fairness; Filter bubble; Information theory; Matrix decomposition; Neutrality

Indexed keywords

BIASED INFORMATION; FAIRNESS; FILTER BUBBLE; MATRIX DECOMPOSITION; NEUTRALITY; PERSONALIZATION TECHNOLOGY; RECOMMENDATION ALGORITHMS; STATISTICAL INDEPENDENCE;

EID: 84892617726     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (67)

References (27)
  • 3
    • 77958063401 scopus 로고    scopus 로고
    • Three naive bayes approaches for discrimination-free classification
    • T. Calders and S. Verwer. Three naive bayes approaches for discrimination-free classification. Data Mining and Knowledge Discovery, 21:277-292, 2010.
    • (2010) Data Mining and Knowledge Discovery , vol.21 , pp. 277-292
    • Calders, T.1    Verwer, S.2
  • 7
    • 84892563192 scopus 로고    scopus 로고
    • Grouplens research lab, university of minnesota
    • Grouplens research lab, university of minnesota. hhttp://www.grouplens. org/i.
  • 8
    • 75249088154 scopus 로고    scopus 로고
    • A survey of accuracy evaluation metrics of recommendation tasks
    • A. Gunawardana and G. Shani. A survey of accuracy evaluation metrics of recommendation tasks. Journal of Machine Learning Research, 10:2935-2962, 2009.
    • (2009) Journal of Machine Learning Research , vol.10 , pp. 2935-2962
    • Gunawardana, A.1    Shani, G.2
  • 22
    • 84892583114 scopus 로고    scopus 로고
    • Scipy.org
    • Scipy.org. hhttp://www.scipy.org/i.
  • 24
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • A. Strehl and J. Ghosh. Cluster ensembles | a knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research, 3:583-617, 2002.
    • (2002) Journal of Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.