Computer Science ›› 2017, Vol. 44 ›› Issue (9): 178-183.doi: 10.11896/j.issn.1002-137X.2017.09.034

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P2P-based Privacy Protection Strategy in Mobile-commerce Recommender System

WANG Li-e, XU Yuan-xin, LI Xian-xian and LIU Peng   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Mobile recommender systems have recently become one of the hottest topics in the domain of recommender systems.How to provide high-precision recommendations and privacy protection has become the main challenge in the development of mobile-commerce,since mobile device is privacy and mobile network is complex.Due to its weakness of computation power and bandwidth,recommender system of mobile-commerce is not able to use these privacy-preserving techniques which are initially designed for traditional recommender systems.To address above problems,a P2P-based privacy protection approach specifically for mobile-commerce recommender system was proposed in this paper.Our approach keeps incremental data intactly for guaranteeing high-precision recommendations while preserving privacy by constructing friends’ circles and forwarding data anonymously based on the model of k-anonymity.In the end,the experiment shows that the P2P-based privacy protection approach is feasible and effective.

Key words: P2P,Mobile-commerce recommender system,Privacy protection,K-anonymity

[1] MENG X W,HU X,WANG L C,et al.Mobile recommender systems and their applications[J].Journal of Software,2013,24(1):91-108.(in Chinese) 孟祥武,胡勋,王立才,等.移动推荐系统及其应用[J].软件学报,2013,4(1):91-108.
[2] ADOMAVICIUS G,TUZHILIN A.Towards the next generation of recommender systems:A survey of the state-of-the-art and possible extensions[J].IEEE Trans.on Knowledge and Data Engineering,2005,17(6):734-749.
[3] XU H L,WU X,LI X D,et al.Comparison study of Internet re-commendation system [J].Journal of Software,2009,20(2):350-362.(in Chinese) 许海玲,吴潇,李晓东,等.互联网推荐系统比较研究[J].软件学报,2009,0(2):350-362.
[4] RESNICK P,VARIAN H R.Recommender systems [J].Communications of the ACM,1997,40(3):56-58.
[5] WANG L C,MENG X W,ZHANG Y J.Context-Aware recommender systems [J].Journal of Software,2012,23(1):1-20.(in Chinese) 王立才,孟祥武,张玉洁.上下文感知推荐系统[J].软件学报,2012,3(1):1-20.
[6] WRNDL W,SCHLLER C,WOJTECH R.A hybrid recommender system for context-aware recommendations of mobile applications[C]∥Proc.of the Int’l Conf.on Data Engineering (ICDE 2007).Washington:IEEE Computer Society,2007:871-878.
[7] WANG S L,WU C Y.Application of context-aware and perso-nalized recommendation to implement an adaptive ubiquitous learning system[J].Expert Systems with Applications,2011,38(9):10831-10838.
[8] ZHOU W L,WU X F.Survey of P2P technologies[J].Compu-ter Engineering and Design,2006,7(1):76-79.(in Chinese) 周文莉,吴晓非.P2P技术综述[J].计算机工程与设计,2006,7(1):76-79.
[9] TVEIT A.Peer-to-Peer based recommendations for mobile commerce[C]∥Proc of the 1st International Workshop on Mobile Commerce.New York:ACM Press,2001:26-29.
[10] BERKOVSKY S,et al.Enhancing privacy and preserving accuracy of a distributed collaborative filtering[C]∥Proceedings of the 2007 ACM Conference on Recommender Systems.2007.
[11] SHOKRI R,PEDARSANI R,THEODORAKOPOULOS G,et al.Preserving privacy in collaborative filtering through distributed aggregation of offline profiles[C]∥Proc of the 3rd ACM Conference on Recommender Systems.New York:ACM Press,2009:157-164.
[12] POLAT H,DU W.Privacy-preserving collaborative filteringusing randomized perturbation techniques[C]∥Proc of the 3rd Internation Conference on Data Mining.Washington DC:IEEE Computer Society,2003:625-628.
[13] POLAT H,DU W.SVD-based collaborative filtering with privacy[C]∥Proc of ACM Symposium on Applied Computing.New York:ACM Press,2004:791-795.
[14] ZHANG F Z,LIU T,FENG S S.Improved Privacy-preserving collaborative Filtering Recommendation Algorithm[J].Compu-ter Engineering,2010,6(16):126-134.(in Chinese) 张付志,刘亭,封素石.一种改进的隐私保持协同过滤推荐算法[J].计算机工程,2010,36(16):126-134.
[15] BERKOVSKY S,EYTANI Y,KUFLIK T,et al.Privacy-en-hanced collaborative filtering [C]∥Proc of user Modeling workshop on Privacy-Enhanced Personalization.2005:75-83.
[16] BERKOVSKY S,KUFLIK T.Hierarchical neighborhood topo-logy for privacy enhanced collaborative filtering[C]∥Proc of CHI Workshop on Privacy-Enhanced Personalization.2006:6-13.
[17] CANNY J.Collaborative filtering with privacy[C]∥Proc ofIEEE Symposium on Security and Privacy.Washington DC:IEEE Computer Society,2002:45-57.
[18] CANNY J.Collaborative filtering with privacy via factor analysis [C]∥Proc of the 25th Annual International ACM SIGIR Conference on Research and Development in information Retrieval.New York:ACM Press,2002:238-245.
[19] FRAN C,J D F.Constantinos Patsakis,Domenec Puig,Agusti Solanas,Privacy Preserving Collaborative Filtering with k-Anonymity through Microaggregation[C]∥IEEE 10th International Conference on e-Business Engineering.2013:490-497.
[20] BAKKER A,OGSTON E,VAN STEEN M.Collaborative filtering using random neighbours in peer-to-peer networks[C]∥Proceedings of the 1st ACM International Workshop on Complex Networks Meet Information & Knowledgemanagement.2009.
[21] MILLER B,KONSTAN J,RIEDL J.PockLens:toward a per-sonal recommender system[J].ACM Trans.on Information Systems,2004,22(3):437-476.
[22] SARWAR B,KARYPIS G,KONSTAN J,et al.Analysis of re-commendation algorithms for E-commerce[C]∥Proc.2nd ACM Conf.Electronic Commerce.New York:ACM Press,2000:158-167.
[23] SARWAR B,KONSTAN J,BORCHERS A,et al.Using filtering agents to improve prediction quality in the groupLens research collaborative filtering system[C]∥Proc.ACM Conf.Computer Supported Cooperative Work(CSCW).New York:ACM Press,1998:345-354.
[24] GOOD N,SCHAFER J B,KONSTAN J A,et al.Combing collaborative filtering with personal agents for better recommendations[C]∥Proc.16th National Conf.Artificial Intelligence (AAAI-99).Menlo Park,CA:AAAI/MIT Ptess,1999:439-446.
[25] SHARDANAND U,MAES P.Social Information Filtering:Algorithms for Automating “Word of Mouth”[C]∥Proceedings 1995 ACM SIGCHI Conference on Human Factors in Computing Systems.Denver,CO,USA,1995:210-217.

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