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Volumn 39, Issue 5, 2012, Pages 5033-5042

The impact of data obfuscation on the accuracy of collaborative filtering

Author keywords

Accuracy; Collaborative filtering; Data obfuscation; Recommender systems

Indexed keywords

ACCURACY; CENTRALIZED SYSTEMS; COLLABORATIVE FILTERING; DATA OBFUSCATION; DATA SETS; PERSONALIZED RECOMMENDATION; POSITIVE ATTITUDE; PREDICTION ACCURACY; PRIVACY BREACHES; SIDE EFFECT; USER PROFILE; USER RATING; USER STUDY;

EID: 84855897737     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.037     Document Type: Article
Times cited : (47)

References (27)
  • 3
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    • A survey of peer-to-peer content distribution technologies
    • S. Androutsellis-Theotokis, and D. Spinellis A survey of peer-to-peer content distribution technologies ACM Computing Survey 36 4 2004 335 371
    • (2004) ACM Computing Survey , vol.36 , Issue.4 , pp. 335-371
    • Androutsellis-Theotokis, S.1    Spinellis, D.2
  • 4
    • 84855902252 scopus 로고    scopus 로고
    • How to keep your privacy: Battle lines get clearer
    • Brier, S. (1997). How to keep your privacy: Battle lines get clearer. New York Times.
    • (1997) New York Times
    • Brier, S.1
  • 8
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • K. Goldberg, T. Roeder, D. Gupta, and C. Perkins Eigentaste: A constant time collaborative filtering algorithm Information Retrieval 4 2 2001 133 151
    • (2001) Information Retrieval , vol.4 , Issue.2 , pp. 133-151
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.