TY - GEN
T1 - Secure two-party rank correlation computations for recommender systems
AU - Wong, Kok Seng
AU - Seo, Minjie
AU - Kim, Myung Ho
N1 - Funding Information:
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2058695)
Publisher Copyright:
© 2015 IEEE.
PY - 2015/12/2
Y1 - 2015/12/2
N2 - Recommendation systems are active information filtering systems that consist of a processor that can provide recommendations to requesting users (based on the personal ratings that were submitted by all users). In order to produce accurate and personalized recommendations, databases from different agencies can be merged together as a central database. However, due to competition and the possibility of disclosing business strategies, some agencies might not want to disclose the rating information of their customers. In this paper, we propose three secure protocols to compute rank correlation coefficients (Spearman's Rho and Kendall's Tau) for recommender systems. We utilize a semantically secure homomorphic cryptosystem and a ciphertext comparison approach in our protocol design.
AB - Recommendation systems are active information filtering systems that consist of a processor that can provide recommendations to requesting users (based on the personal ratings that were submitted by all users). In order to produce accurate and personalized recommendations, databases from different agencies can be merged together as a central database. However, due to competition and the possibility of disclosing business strategies, some agencies might not want to disclose the rating information of their customers. In this paper, we propose three secure protocols to compute rank correlation coefficients (Spearman's Rho and Kendall's Tau) for recommender systems. We utilize a semantically secure homomorphic cryptosystem and a ciphertext comparison approach in our protocol design.
KW - Ciphertext comparison
KW - Data privacy
KW - Homomorphic cryptosystem
KW - Rank correlation coefficient
KW - Recommender systems
UR - http://www.scopus.com/inward/record.url?scp=84966774715&partnerID=8YFLogxK
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U2 - 10.1109/Trustcom.2015.478
DO - 10.1109/Trustcom.2015.478
M3 - Conference contribution
AN - SCOPUS:84966774715
VL - 1
T3 - Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
SP - 1022
EP - 1028
BT - Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015
Y2 - 20 August 2015 through 22 August 2015
ER -