A trust-based collaborative filtering algorithm for E-commerce recommendation system

Liaoliang Jiang1, Yuanming Cheng2, Li Yang2, Jing Li1, Hongyang Yan3, Xiaoqin Wang2
1School of Computer Science, Guangzhou University, Guangzhou, 510000, China
2School of Computer Science, Xidian University, Xi’an, 710071, China
3Nankai University, Tianjin, 300000, China

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Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans Knowl Data Eng 17(6):734–749

Agrawal R, Srikant R (2000) Privacy-preserving data mining. ACM Sigmod Record, ACM 29:439–450

Ahn HJ (2008) A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem. Inf Sci 178(1):37–51

Bhuiyan MZA, Wang G, Wu J, Cao J, Liu X, Wang T (2017) Dependable structural health monitoring using wireless sensor networks. IEEE Trans Dependable Secure Comput 14(4):363–376

Breese JS, Heckerman D, Kadie C (1998) Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence, Morgan Kaufmann Publishers Inc., pp 43–52

Cai J, Wang Y, Liu Y, Luo JZ (2017) Enhancing network capacity by weakening community structure in scale-free network. Future Generation Computer Systems. https://doi.org/10.1016/j.future.2017.08.014

Chang X, Yang Y (2017) Semisupervised feature analysis by mining correlations among multiple tasks. IEEE Trans Neural NetwLearn Syst 28(10):2294–2305

Chen C, Wu K, Srinivasan V, Zhang X (2013) Battling the internet water army: Detection of hidden paid posters. In: Advances in Social Networks Analysis and Mining (ASONAM), 2013 IEEE/ACM International Conference on, IEEE, pp 116–120

Chen W, Lei H, Qi K (2016) Lattice-based linearly homomorphic signatures in the standard model. Theor Comput Sci 634:47–54

Gao Cz, Cheng Q, Li X, Xia Sb (2018) Cloud-assisted privacy-preserving profile-matching scheme under multiple keys in mobile social network. Cluster Computing, pp 1–9

Gong S, Ye H (2009) Joining user clustering and item based collaborative filtering in personalized recommendation services. In: Industrial and Information Systems, 2009. IIS’09. International Conference on, IEEE, pp 149–151

Guo P, Wang J, Geng XH, Kim CS, Kim JU (2014) A variable threshold-value authentication architecture for wireless mesh networks. J Internet Technol 15(6):929–935

Huang CB, Gong SJ (2008) Employing rough set theory to alleviate the sparsity issue in recommender system. In: Machine Learning and Cybernetics, 2008 International Conference on, IEEE, vol 3, pp 1610–1614

Huang Y, Li W, Liang Z, Xue Y, Wang X (2016) Efficient business process consolidation: combining topic features with structure matching. Soft Computing, pp 1–13

Ibtihal M, Hassan N et al (2017) Homomorphic encryption as a service for outsourced images in mobile cloud computing environment. Int J Cloud Appl Comput (IJCAC) 7(2):27–40

Jiang W, Wang G, Bhuiyan MZA, Wu J (2016) Understanding graph-based trust evaluation in online social networks: methodologies and challenges. ACM Comput Surv (CSUR) 49(1):10

Jin R, Chai JY, Si L (2004) An automatic weighting scheme for collaborative filtering. In: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, ACM, pp 337–344

Jing Y, Zhang L, Phelan C (2016) A novel recommendation strategy for user-based collaborative filtering in intelligent marketing. J Dig Inf Manag 14(2)

Lee JS, Jun CH, Lee J, Kim S (2005) Classification-based collaborative filtering using market basket data. Expert Syst Appl 29(3):700–704

Lemire D, Maclachlan A (2005) Slope one predictors for online rating-based collaborative filtering. In: Proceedings of the 2005 SIAM International Conference on Data Mining, SIAM, pp 471–475

Li B, Huang Y, Liu Z, Li J, Tian Z, Yiu SM (2018) Hybridoram: practical oblivious cloud storage with constant bandwidth. Information Sciences. https://doi.org/10.1016/j.ins.2018.02.019

Li J, Feng P, Lv J (2013a) An improved slope one algorithm for collaborative filtering. In: Natural Computation (ICNC), 2013 Ninth International Conference on, IEEE, pp 1118–1123

Li J, Wang Y, Wu J, Yang F (2013b) Application of user-based collaborative filtering recommendation technology on logistics platform. In: Business Intelligence and Financial Engineering (BIFE), 2013 Sixth International Conference on, IEEE, pp 135–138

Liu Y, Ling J, Liu Z, Shen J, Gao C (2017) Finger vein secure biometric template generation based on deep learning. Soft Computing, pp 1–9

Ym Luo, Nie Gh (2007) Research of recommendation algorithm on integration of semantic similarity and the item-based cf [j]. J Wuhan Univ Technol 1:023

McAuley J, Targett C, Shi Q, Van Den Hengel A (2015) Image-based recommendations on styles and substitutes. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp 43–52

Peng S, Yang A, Cao L, Yu S, Xie D (2017a) Social influence modeling using information theory in mobile social networks. Inf Sci 379:146–159

Peng T, Liu Q, Meng D, Wang G (2017b) Collaborative trajectory privacy preserving scheme in location-based services. Inf Sci 387:165–179

Resnick P, Iacovou N, Suchak M, Bergstrom P, Riedl J (1994) Grouplens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM conference on Computer supported cooperative work, ACM, pp 175–186

Schein AI, Popescul A, Ungar LH, Pennock DM (2002) Methods and metrics for cold-start recommendations. In: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, ACM, pp 253–260

Shen C, Chen Y, Guan X (2018a) Performance evaluation of implicit smartphones authentication via sensor-behavior analysis. Inf Sci 430:538–553

Shen J, Tan HW, Wang J, Wang JW, Lee SY (2015) A novel routing protocol providing good transmission reliability in underwater sensor networks. J Internet Technol 16(1):171–178

Shen J, Gui Z, Ji S, Shen J, Tan H, Tang Y (2018b) Cloud-aided lightweight certificateless authentication protocol with anonymity for wireless body area networks. J Netw Comput Appl 106:117–123

Shi X, Ye H, Gong S (2008) A personalized recommender integrating item-based and user-based collaborative filtering. In: Business and Information Management, 2008. ISBIM’08. International Seminar on, IEEE, vol 1, pp 264–267

Song S, Wu K (2012) A creative personalized recommendation algorithm user-based slope one algorithm. In: Systems and Informatics (ICSAI), 2012 International Conference on, IEEE, pp 2203–2207

Tian H, Chen Z, Chang CC, Huang Y, Wang T, Huang Za, Cai Y, Chen Y (2018) Public audit for operation behavior logs with error locating in cloud storage. Soft Computing, pp 1–14

Tiraweerakhajohn C, Pinngern O (2004) Finding item neighbors in item-based collaborative filtering by adding item content. In: Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th, IEEE, vol 3, pp 1674–1678

Voorsluys W, Broberg J, Buyya R (2011) Introduction to cloud computing. Principles and paradigms, Cloud computing, pp 1–41

Wu J, Guo S, Li J, Zeng D (2016) Big data meet green challenges: big data toward green applications. IEEE Syst J 10(3):888–900

Wu Z, Lin W, Zhang Z, Wen A, Lin L (2017) An ensemble random forest algorithm for insurance big data analysis. In: IEEE International Conference on Computational Science and Engineering, pp 531–536

Xia S, Zhao Y, Zhang Y, Xin C, Roepnack S, Huang S (2010) Optimizations for item-based collaborative filtering algorithm. In: Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on, IEEE, pp 1–5

Xia Z, Wang X, Sun X, Wang Q (2016) A secure and dynamic multi-keyword ranked search scheme over encrypted cloud data. IEEE Trans Parallel Distrib Syst 27(2):340–352

Xie H, Zhu Q, Qu H, Yang R (2011) User-based collaborative recommendation filtering algorithm using extremely valued ratings. Int J Digital Content Technol Appl 5(9)

Xu J, Wei L, Zhang Y, Wang A, Zhou F, Cz Gao (2018) Dynamic fully homomorphic encryption-based merkle tree for lightweight streaming authenticated data structures. J Netw Comput Appl 107:113–124

Yang L, Qiao Y, Liu Z, Ma J, Li X (2016) Identifying opinion leader nodes in online social networks with a new closeness evaluation algorithm. Soft Computing, pp 1–12

Zhang Z, Kudo Y, Murai T (2015) Applying covering-based rough set theory to user-based collaborative filtering to enhance the quality of recommendations. In: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, Springer, pp 279–289