메뉴 건너뛰기




Volumn 56, Issue 11, 2010, Pages 1911-1929

Manipulation robustness of collaborative filtering

Author keywords

And data mining technologies); Enabling technologies (includes artificial intelligence; Machine learning; Nonparametric; Probability; Statistics; Stochastic model applications

Indexed keywords

DATA MINING TECHNOLOGY; ENABLING TECHNOLOGIES; MACHINE-LEARNING; NON-PARAMETRIC; STOCHASTIC MODEL APPLICATIONS;

EID: 78649724390     PISSN: 00251909     EISSN: 15265501     Source Type: Journal    
DOI: 10.1287/mnsc.1100.1232     Document Type: Article
Times cited : (28)

References (41)
  • 1
    • 20844435854 scopus 로고    scopus 로고
    • Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
    • Adomavicius, G., A. Tuzhilin. 2005. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowledge Data Engrg. 17(6) 734-749.
    • (2005) IEEE Trans. Knowledge Data Engrg. , vol.17 , Issue.6 , pp. 734-749
    • Adomavicius, G.1    Tuzhilin, A.2
  • 2
    • 0031103679 scopus 로고    scopus 로고
    • Fab: Content-based, collaborative recommendation
    • Balabanovic, M., Y. Shoham. 1997. Fab: Content-based, collaborative recommendation. Comm. ACM 40(3) 66-72.
    • (1997) Comm. ACM , vol.40 , Issue.3 , pp. 66-72
    • Balabanovic, M.1    Shoham, Y.2
  • 7
    • 0002607026 scopus 로고    scopus 로고
    • Bayesian classification (AutoClass): Theory and results
    • U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, eds, AAAI Press, Menlo Park, CA
    • Cheeseman, P., J. Stutz. 1996. Bayesian classification (AutoClass): Theory and results. U. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy, eds. Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park, CA, 153-180.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 153-180
    • Cheeseman, P.1    Stutz, J.2
  • 8
    • 33749684670 scopus 로고    scopus 로고
    • Strategic manipulation of Internet opinion forums: Implications for consumers and firms
    • Dellarocas, C. 2006. Strategic manipulation of Internet opinion forums: Implications for consumers and firms. Management Sci. 52(10) 1577-1593.
    • (2006) Management Sci. , vol.52 , Issue.10 , pp. 1577-1593
    • Dellarocas, C.1
  • 9
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the EM algorithm
    • Dempster, A., N. Laird, D. Rubin. 1977. Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Statist. Soc. 39(1) 1-38.
    • (1977) J. Roy. Statist. Soc. , vol.39 , Issue.1 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 10
    • 0031269184 scopus 로고    scopus 로고
    • On the optimality of the simple Bayesian classifier under zero-one loss
    • Domingos, P., M. Pazzani. 1997. On the optimality of the simple Bayesian classifier under zero-one loss. Machine Learn. 29(2) 103-130.
    • (1997) Machine Learn. , vol.29 , Issue.2 , pp. 103-130
    • Domingos, P.1    Pazzani, M.2
  • 12
    • 84926072615 scopus 로고    scopus 로고
    • Manipulation-resistant reputation systems
    • N. Nisan, T. Roughgarden, É. Tardos, V. V. Vazirani, eds., Chap. 27. Cambridge University Press, New York
    • Friedman, E., P. Resnick, R. Sami. 2007. Manipulation-resistant reputation systems. N. Nisan, T. Roughgarden, É. Tardos, V. V. Vazirani, eds. Algorithmic Game Theory, Chap. 27. Cambridge University Press, New York, 677-697.
    • (2007) Algorithmic Game Theory , pp. 677-697
    • Friedman, E.1    Resnick, P.2    Sami, R.3
  • 13
    • 36549043366 scopus 로고    scopus 로고
    • Entropy bounds on Bayesian learning
    • Gossner, O., T. Tomala. 2008. Entropy bounds on Bayesian learning. J. Math. Econom. 44(1) 24-32.
    • (2008) J. Math. Econom. , vol.44 , Issue.1 , pp. 24-32
    • Gossner, O.1    Tomala, T.2
  • 15
  • 16
    • 35448983933 scopus 로고    scopus 로고
    • Using mixture models for collaborative filtering
    • Kleinberg, J., M. Sandler. 2008. Using mixture models for collaborative filtering. Comput. System Sci. 74(1) 49-69.
    • (2008) Comput. System Sci. , vol.74 , Issue.1 , pp. 49-69
    • Kleinberg, J.1    Sandler, M.2
  • 18
    • 0037252945 scopus 로고    scopus 로고
    • Amazon.com recommendations: Item-to-item collaborative filtering
    • Linden, G., B. Smith, J. York. 2003. Amazon.com recommendations: Item-to-item collaborative filtering. IEEE Internet. Comput. 7(1) 76-80.
    • (2003) IEEE Internet. Comput. , vol.7 , Issue.1 , pp. 76-80
    • Linden, G.1    Smith, B.2    York, J.3
  • 19
    • 32844472646 scopus 로고    scopus 로고
    • Trust-aware collaborative filtering for recommender systems
    • Springer-Verlag, Berlin
    • Massa, P., P. Avesani. 2004. Trust-aware collaborative filtering for recommender systems. Lecture Notes in Computer Science, Vol. 3290. Springer-Verlag, Berlin, 492-508.
    • (2004) Lecture Notes in Computer Science , vol.3290 , pp. 492-508
    • Massa, P.1    Avesani, P.2
  • 22
    • 25844515285 scopus 로고    scopus 로고
    • Eliciting informative feedback: The peer-prediction method
    • Miller, N., P. Resnick, R. Zeckhauser. 2005. Eliciting informative feedback: The peer-prediction method. Management Sci. 51(9) 1359-1373.
    • (2005) Management Sci. , vol.51 , Issue.9 , pp. 1359-1373
    • Miller, N.1    Resnick, P.2    Zeckhauser, R.3
  • 23
    • 33750691341 scopus 로고    scopus 로고
    • Model-based collaborative filtering as a defense against profile injection attacks
    • Proceedings of the 21st National Conference on Artificial Intelligence and the 18th Innovative Applications of Artificial Intelligence Conference, AAAI-06/IAAI-06
    • Mobasher, B., R. Burke, J. J. Sandvig. 2006. Model-based collaborative filtering as a defense against profile injection attacks. Proc. Twenty-First National Conf. Artificial Intelligence, AAAI Press, Menlo Park, CA, 1388-1393. (Pubitemid 44705468)
    • (2006) Proceedings of the National Conference on Artificial Intelligence , vol.2 , pp. 1388-1393
    • Mobasher, B.1    Burke, R.2    Sandvig, J.J.3
  • 24
    • 33749544444 scopus 로고    scopus 로고
    • Effective attack models for shilling item-based collaborative filtering systems
    • ACM, New York
    • Mobasher, B., R. Burke, R. Bhaumik, C. Williams. 2005. Effective attack models for shilling item-based collaborative filtering systems. Proc. 2005 WebKDD Workshop, ACM, New York, 13-23.
    • (2005) Proc. 2005 WebKDD Workshop , pp. 13-23
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4
  • 25
    • 35348969366 scopus 로고    scopus 로고
    • Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness
    • Article no. 23
    • Mobasher, B., R. Burke, R. Bhaumik, C. Williams. 2007. Toward trustworthy recommender systems: An analysis of attack models and algorithm robustness. ACM Trans. Internet Tech. 7(4), Article no. 23.
    • (2007) ACM Trans. Internet Tech. , vol.7 , Issue.4
    • Mobasher, B.1    Burke, R.2    Bhaumik, R.3    Williams, C.4
  • 26
    • 38849205526 scopus 로고    scopus 로고
    • Predicting product purchase from inferred customer similarity: An autologistic model approach
    • Moon, S., G. Russell. 2008. Predicting product purchase from inferred customer similarity: An autologistic model approach. Management Sci. 54(1) 71-82.
    • (2008) Management Sci. , vol.54 , Issue.1 , pp. 71-82
    • Moon, S.1    Russell, G.2
  • 27
    • 48349137983 scopus 로고    scopus 로고
    • Tracing the path: New model and algorithms for collaborative filtering
    • IEEE, Computer Society, Washington, DC
    • Motwani, R., S. Vassilvitskii. 2007. Tracing the path: New model and algorithms for collaborative filtering. Twenty-Third Internat. Conf. Data Engrg. Workshop, IEEE, Computer Society, Washington, DC, 853-862.
    • (2007) Twenty-Third Internat. Conf. Data Engrg. Workshop , pp. 853-862
    • Motwani, R.1    Vassilvitskii, S.2
  • 28
    • 78649737792 scopus 로고    scopus 로고
    • Netflix Prize, Accessed October 2008
    • Netflix Prize. 2006. Accessed October 2008, http://www.netflixprize .com.
    • (2006)
  • 30
    • 78649740353 scopus 로고    scopus 로고
    • Amazon blushes over sex link gaffe
    • Olsen, S. 2002. Amazon blushes over sex link gaffe. CNET News (December 6), http://news.cnet.com/2100-1023-976435.html.
    • (2002) CNET News (December 6)
    • Olsen, S.1
  • 32
    • 42149166795 scopus 로고    scopus 로고
    • The influence limiter: Provably manipulation-resistant recommender systems
    • ACM, New York
    • Resnick, P., R. Sami. 2007. The influence limiter: Provably manipulation-resistant recommender systems. RecSys '07: Proc. ACM Conf. Recommender Systems, ACM, New York, 25-32.
    • (2007) RecSys '07: Proc ACM Conf. Recommender Systems , pp. 25-32
    • Resnick, P.1    Sami, R.2
  • 33
    • 63449085337 scopus 로고    scopus 로고
    • The information cost of manipulationresistance in recommender systems
    • ACM, New York
    • Resnick, P., R. Sami. 2008. The information cost of manipulationresistance in recommender systems. RecSys '08: Proc. 2008 ACM Conf. Recommender Systems, ACM, New York, 147-154.
    • (2008) RecSys '08: Proc. 2008 ACM Conf. Recommender Systems , pp. 147-154
    • Resnick, P.1    Sami, R.2
  • 34
    • 78649750435 scopus 로고    scopus 로고
    • Interview by Xiang Yan, San Francisco
    • Ryan, L. 2008. Interview by Xiang Yan, San Francisco.
    • (2008)
    • Ryan, L.1
  • 39
    • 0000167944 scopus 로고
    • Note on the consistency of the maximum likelihood estimate
    • Wald, A. 1949. Note on the consistency of the maximum likelihood estimate. Ann. Math. Statist. 20(4) 595-601.
    • (1949) Ann. Math. Statist. , vol.20 , Issue.4 , pp. 595-601
    • Wald, A.1
  • 40
    • 35648963540 scopus 로고    scopus 로고
    • Defending recommender systems: Detection of profile injection attacks
    • Williams, C., B. Mobasher, R. Burke. 2007. Defending recommender systems: Detection of profile injection attacks. J. Service Oriented Comput. Appl. 1(3) 157-170.
    • (2007) J. Service Oriented Comput. Appl. , vol.1 , Issue.3 , pp. 157-170
    • Williams, C.1    Mobasher, B.2    Burke, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.