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Volumn 63, Issue 6, 2012, Pages 826-838

SOM-based recommendations with privacy on multi-party vertically distributed data

Author keywords

privacy; vertically distributed data; prediction; SOM

Indexed keywords

CONFORMAL MAPPING; COST BENEFIT ANALYSIS; FORECASTING; SELF ORGANIZING MAPS;

EID: 84860828016     PISSN: 01605682     EISSN: 14769360     Source Type: Journal    
DOI: 10.1057/jors.2011.76     Document Type: Article
Times cited : (11)

References (38)
  • 1
    • 34948850364 scopus 로고    scopus 로고
    • A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
    • Ahn HJ (2008). A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Inform Sci 178(1): 37-51.
    • (2008) Inform Sci , vol.178 , Issue.1 , pp. 37-37
    • Ahn, H.J.1
  • 2
    • 84860832120 scopus 로고    scopus 로고
    • Workshop on Privacy- Enhanced Personalization, at the International Conference on User Modeling, Edinburgh, UK
    • Berkovsky S, Eytani Y, Kuflik T and Ricci F (2005). Privacyenhanced collaborative filtering. In: Workshop on Privacy- Enhanced Personalization, at the International Conference on User Modeling, Edinburgh, UK, pp 75-83.
    • (2005) Privacyenhanced Collaborative Filtering , pp. 75-75
    • Berkovsky, S.1    Eytani, Y.2    Kuflik, T.3    Ricci, F.4
  • 3
    • 33646886776 scopus 로고    scopus 로고
    • Secure knowledge management: Confidentiality, trust, and privacy
    • Bertino E, Khan LR, Sandhu R and Thuraisingham B (2006). Secure knowledge management: Confidentiality, trust, and privacy. IEEE T Syst Man Cy A 36(3): 429-438.
    • (2006) IEEE T Syst Man Cy A , vol.36 , Issue.3 , pp. 429-429
    • Bertino, E.1    Khan, L.R.2    Sandhu, R.3    Thuraisingham, B.4
  • 5
    • 0002731035 scopus 로고    scopus 로고
    • Proceedings of the Fifteenth International Conference on Machine Learning. Madison, WI, Morgan Kaufmann Publishers Inc: Los Altos, CA
    • Billsus D and Pazzani MJ (1998). Learning collaborative information filters. In: Proceedings of the Fifteenth International Conference on Machine Learning. Madison, WI, Morgan Kaufmann Publishers Inc: Los Altos, CA, pp 46-54.
    • (1998) Learning Collaborative Information Filters , pp. 46-46
    • Billsus, D.1    Pazzani, M.J.2
  • 6
    • 84944262629 scopus 로고    scopus 로고
    • Proceedings of the 2002 IEEE Symposium on Security and Privacy. IEEE Computer Society, Oakland, CA
    • Canny J (2002). Collaborative filtering with privacy. In: Proceedings of the 2002 IEEE Symposium on Security and Privacy. IEEE Computer Society, Oakland, CA, pp 45-57.
    • (2002) Collaborative Filtering with Privacy , pp. 45-45
    • Canny, J.1
  • 8
    • 0002549585 scopus 로고    scopus 로고
    • Eigentaste: A constant time collaborative filtering algorithm
    • Goldberg K, Roeder T, Gupta D and Perkins C (2001). Eigentaste: A constant time collaborative filtering algorithm. Inform Retrieval 4(2): 133-151.
    • (2001) Inform Retrieval , vol.4 , Issue.2 , pp. 133-133
    • Goldberg, K.1    Roeder, T.2    Gupta, D.3    Perkins, C.4
  • 9
    • 84860811664 scopus 로고    scopus 로고
    • 7th International Multiconference Information Society IS 2004, Slovenia
    • Grcar M (2004). User profiling: Collaborative filtering. In: 7th International Multiconference Information Society IS 2004, Slovenia, pp 75-78.
    • (2004) User Profiling: Collaborative Filtering , pp. 75-78
    • Grcar, M.1
  • 12
  • 13
    • 58149239672 scopus 로고    scopus 로고
    • Springer: Berlin/Heidelberg Wegrzyn-Wolska K and Szczepaniak P (eds). Advances in Intelligent Web Mastering
    • Kaleli C and Polat H (2007b). Providing private recommendations using Na?̈ve Bayesian classifier. In: Wegrzyn-Wolska K and Szczepaniak P (eds). Advances in Intelligent Web Mastering, Vol. 43. Springer: Berlin/Heidelberg, pp 168-173.
    • (2007) Providing private recommendations using Na?̈ve Bayesian classifier , vol.43 , pp. 168-168
    • Kaleli, C.1    Polat, H.2
  • 14
    • 76749084346 scopus 로고    scopus 로고
    • P2P collaborative filtering with privacy
    • Kaleli C and Polat H (2010). P2P collaborative filtering with privacy. Turk J Electr Eng Comput Sci 8(1): 101-116.
    • (2010) Turk J Electr Eng Comput Sci , vol.8 , Issue.1 , pp. 101-101
    • Kaleli, C.1    Polat, H.2
  • 17
    • 23044532051 scopus 로고    scopus 로고
    • Proceedings of the Third International Conference on E-Commerce and Web Technologies. Aix-en-Provence, France. Springer- Verlag, Berlin, Germany
    • Kim T-H, Ryu Y-S, Park S-I and Yang S-B (2002). An improved recommendation algorithm in collaborative filtering. In: Proceedings of the Third International Conference on E-Commerce and Web Technologies. Aix-en-Provence, France. Springer- Verlag, Berlin, Germany, pp 254-261.
    • (2002) An Improved Recommendation Algorithm in Collaborative Filtering , pp. 254-254
    • Kim, T.-H.1    Ryu, Y.-S.2    Park, S.-I.3    Yang, S.-B.4
  • 18
    • 0003410791 scopus 로고
    • Springer: Berlin, Heidelberg, New York
    • Kohonen T (1995). Self-Organizing Map. Springer: Berlin, Heidelberg, New York.
    • (1995) Self-Organizing Map
    • Kohonen, T.1
  • 20
    • 19744365747 scopus 로고    scopus 로고
    • Privacy-preserving clustering with distributed em mixture modeling
    • Lin X, Clifton C and Zhu M (2005). Privacy-preserving clustering with distributed EM mixture modeling. Knowl Inform Syst 8(1): 68-81.
    • (2005) Knowl Inform Syst , vol.8 , Issue.1 , pp. 68-68
    • Lin, X.1    Clifton, C.2    Zhu, M.3
  • 21
    • 31344447750 scopus 로고    scopus 로고
    • Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
    • Liu K, Kargupta H and Ryan J (2006). Random projection-based multiplicative data perturbation for privacy preserving distributed data mining. IEEE T Knowl Data Eng 18(1): 92-106.
    • (2006) IEEE T Knowl Data Eng , vol.18 , Issue.1 , pp. 92-92
    • Liu, K.1    Kargupta, H.2    Ryan, J.3
  • 22
    • 0030572617 scopus 로고    scopus 로고
    • A comparison of SOM neural network and hierarchical clustering methods
    • Mangiameli P, Chen SK andWest D (1996). A comparison of SOM neural network and hierarchical clustering methods. Eur J Opl Res 93(2): 402-417.
    • (1996) Eur J Opl Res , vol.93 , Issue.2 , pp. 402-402
    • Mangiameli, P.1    Chen Andwest, S.K.D.2
  • 23
    • 41149136085 scopus 로고    scopus 로고
    • Evaluating trust in electronic commerce: A study based on the information provided on merchants' websites
    • Meziane F and Kasiran MK (2008). Evaluating trust in electronic commerce: A study based on the information provided on merchants' websites. J Opl Res Soc 59: 464-472.
    • (2008) J Opl Res Soc , vol.59 , pp. 464-464
    • Meziane, F.1    Kasiran, M.K.2
  • 24
    • 33746829948 scopus 로고    scopus 로고
    • Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms
    • Mingoti SA and Lima JO (2006). Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms. Eur J Opl Res 174(3): 1742-1759.
    • (2006) Eur J Opl Res , vol.174 , Issue.3 , pp. 1742-1742
    • Mingoti, S.A.1    Lima, J.O.2
  • 26
    • 84942550998 scopus 로고    scopus 로고
    • Proceedings of the 17th International Conference on Theory and Application of Cryptographic Techniques. Prague, Czech Republic
    • Paillier P (1999). Public-key cryptosystems based on composite degree residuosity classes. In: Proceedings of the 17th International Conference on Theory and Application of Cryptographic Techniques. Prague, Czech Republic, pp 223-238.
    • (1999) Public-key Cryptosystems Based on Composite Degree Residuosity Classes , pp. 223-223
    • Paillier, P.1
  • 27
    • 46749153877 scopus 로고    scopus 로고
    • In: Proceedings of the 2007 IEEE International Conference on Granular Computing. IEEE Computer Society: Silicon Valley, CA
    • Parameswaran R and Blough DM (2007). Privacy preserving collaborative filtering using data obfuscation. In: Proceedings of the 2007 IEEE International Conference on Granular Computing. IEEE Computer Society: Silicon Valley, CA, pp 380-386.
    • (2007) Privacy Preserving Collaborative Filtering Using Data Obfuscation , pp. 380-380
    • Parameswaran, R.1    Blough, D.M.2
  • 28
    • 46749122242 scopus 로고    scopus 로고
    • In: Proceedings of the Third IEEE International Conference on Data Mining. Melbourne, FL, IEEE Computer Society, Washington, DC
    • Polat H and DuW(2003). Privacy-preserving collaborative filtering using randomized perturbation techniques. In: Proceedings of the Third IEEE International Conference on Data Mining. Melbourne, FL, IEEE Computer Society, Washington, DC, pp 625-628.
    • (2003) Privacy-preserving Collaborative Filtering Using Randomized Perturbation Techniques , pp. 625-625
    • Polat, H.1    Du, W.2
  • 29
    • 24944580011 scopus 로고    scopus 로고
    • Privacy-preserving collaborative filtering
    • Polat H and Du W (2005). Privacy-preserving collaborative filtering. Int J Electroni Comm 9(4): 9-35.
    • (2005) Int J Electroni Comm , vol.9 , Issue.4 , pp. 9-9
    • Polat, H.1    Du, W.2
  • 30
    • 67650477130 scopus 로고    scopus 로고
    • Privacy-preserving top-N recommendation on distributed data
    • Polat H and Du W (2008). Privacy-preserving top-N recommendation on distributed data. J Am Soc Inform Sci Technol 59(7): 1093-1108.
    • (2008) J Am Soc Inform Sci Technol , vol.59 , Issue.7 , pp. 1093-1093
    • Polat, H.1    Du, W.2
  • 31
    • 0141887092 scopus 로고    scopus 로고
    • The collaborative filtering recommendation based on SOM cluster-indexing CBR
    • Roh TH, Oh KJ and Han I (2003). The collaborative filtering recommendation based on SOM cluster-indexing CBR. Expert Syst Appl 25(3): 413-423.
    • (2003) Expert Syst Appl , vol.25 , Issue.3 , pp. 413-413
    • Roh, T.H.1    Oh, K.J.2    Han, I.3
  • 36
    • 38149096941 scopus 로고    scopus 로고
    • In: Proceedings of the Security 2nd International Conference on Advances in Information and Computer Security. Nara, Japan
    • Yakut I and Polat H (2007). Privacy-preserving eigentaste-based collaborative filtering. In: Proceedings of the Security 2nd International Conference on Advances in Information and Computer Security. Nara, Japan, pp 169-184.
    • (2007) Privacy-preserving Eigentaste-based Collaborative Filtering , pp. 169-169
    • Yakut, I.1    Polat, H.2
  • 37
    • 77952531355 scopus 로고    scopus 로고
    • Privacy-preserving SVD-based collaborative filtering on partitioned data
    • Yakut I and Polat H (2010). Privacy-preserving SVD-based collaborative filtering on partitioned data. Int J Inform Technol Decis Making 9: 473-502.
    • (2010) Int J Inform Technol Decis Making , vol.9 , pp. 473-473
    • Yakut, I.1    Polat, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.