山东大学学报 (工学版) ›› 2024, Vol. 54 ›› Issue (6): 57-71.doi: 10.6040/j.issn.1672-3961.0.2023.003
• 机器学习与数据挖掘 • 上一篇
李港龙,林培光*,李金玉,王倩
LI Ganglong, LIN Peiguang*, LI Jinyu, WANG Qian
摘要： 传统社区式问答平台中问答数据不仅透明度低而且容易被内部员工或外部攻击者篡改,导致客户无法信任问答平台信息的真实性,同时,因激励机制的缺乏也让已购买客户没有动力回答其他消费者的提问。为了改善现状,提出并设计一种基于区块链智能合约的社区式问答服务平台,此平台引入了随机邀请、积分激励和声誉激励机制。该平台主要由6个智能合约协同工作,完成用户注册、产品上架以及交易、授权、提问、回答和评分等功能,同时在链下使用基于Minhash和Jaccard算法的文本相似度检测方案,提升用户回答的多样性。在以太坊私链环境中对Solidity语言编写的智能合约进行测试和分析,试验结果证明了代码的正确性和方案的有效性。
中图分类号:
| [1] 徐佳敏. 客服行业:除痛点找拐点[J]. 人力资源, 2021(15): 44-46. XU Jiamin. Customer service industry: remove pain points and find inflection points[J]. Human Resources, 2021(15): 44-46. [2] 王海茹. 互联网企业客服外包风险分析与对策研究[D]. 武汉:华中师范大学, 2019. WANG Hairu. Risk analysis and countermeasure research of customer service outsourcing of Internet enterprises[D]. Wuhan: Central China Normal University, 2019. [3] SHENG J, AMANKWAH-AMOAH J, WANG X. A multidisciplinary perspective of big data in management research[J]. International Journal of Production Economics, 2017, 191:97-112. [4] 浦娟. 电商问答对购买意愿的影响机制研究[D]. 南京:南京大学, 2020. PU Juan. Research on the influence of E-commerce questions and answers on purchase intention[D]. Nanjing: Nanjing University, 2020. [5] 李娜. 电商在线问答的信息属性和社交属性对消费者购买意愿的影响[D]. 西安:西安电子科技大学, 2020. LI Na. The impact of information aspect and social aspect of E-commerce online Q&A on consumers' purchase intention[D]. Xi'an: Xidian University, 2020. [6] SALAH K, ALFALASI A, ALFALASI M. A blockchain-based system for online consumer reviews[C] //IEEE INFOCOM2019-IEEE Conference on Computer Communications Workshops(INFOCOM WKSHPS). N Y, USA: IEEE, 2019: 853-858. [7] BELLINI E, IRAQI Y, DAMIANI E. Blockchain-based distributed trust and reputation management systems: a survey[J]. IEEE Access, 2020, 8: 21127-21151. [8] OKSIIUK O, DMYRIEVA I. Security and privacy issues of blockchain technology[C] //2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering(TCSET). N Y, USA: IEEE, 2020: 1-5. [9] PECK M E, MOORE S K. The blossoming of the blockchain[J]. IEEE Spectrum, 2017, 54(10): 24-25. [10] MAGAZZENI D, MCBURNEY P, NASH W. Validation and verification of smart contracts: a research agenda[J]. Computer, 2017, 50(9): 50-57. [11] AHLUWALIA S, MAHTO R V, GUERRERO M. Blockchain technology and startup financing: atransaction cost economics perspective[J]. Technological Forecasting and Social Change, 2020, 151: 119854. [12] DAI H N, ZHENG Z, ZHANG Y. Blockchain for internet of things: a survey[J]. IEEE Internet of Things Journal, 2019, 6(5): 8076-8094. [13] GRIGGS K N, OLYA O, KOHLIOS C P, et al. Healthcare blockchain system using smart contracts for secure automated remote patient monitoring[J]. Journal of Medical Systems, 2018, 42:1-7. [14] GUO J, LI C, ZHANG G, et al. Blockchain-enabled digital rights management for multimedia resources of online education[J]. Multimedia Tools and Applications, 2020, 79: 9735-9755. [15] LI Z, GUO H, WANG W M, et al. A blockchain and automl approach for open and automated customer service[J]. IEEE Transactions on Industrial Informatics, 2019, 15(6): 3642-3651. [16] SABHARWAL C L, ANJUM B. An SVD-Entropy and bilinearity based product ranking algorithm using heterogeneous data[J]. Journal of Visual Languages & Computing, 2017, 41: 133-141. [17] ZHOU Z, WANG M, YANG C N,et al. Blockchain-based decentralized reputation system in E-commerce environment[J]. Future Generation Computer Systems, 2021, 124: 155-167. [18] LISI A, DE SALVE A, MORI P, et al. Rewarding reviews with tokens: an ethereum-based approach[J]. Future Generation Computer Systems, 2021, 120: 36-54. [19] CHEN Y, LI H, LI K, et al. An improved P2P file system scheme based on IPFS and Blockchain[C] //2017 IEEE International Conference on Big Data. Washington, USA: IEEE, 2017: 2652-2657. [20] ZHOU H, OUYANG X, REN Z,et al.A blockchain based witness model for trustworthy cloud service level agreement enforcement[C] //International Conference on Computer Communications. N Y, USA: IEEE, 2019: 1567-1575. [21] 曹卫东,胡炜,王家亮,等.基于SimHash和混合相似度的多模式匹配方法[J]. 计算机应用研究, 2020, 37(1): 198-202. CAO Weidong, HU Wei, WANG Jialiang, et al. Multiple schema matching method based on SimHash and mixed similarity[J]. Application Research of Computers, 2020, 37(1): 198-202. [22] BRODER A Z, CHARIKAR M, FRIEZE A M, et al. Min-wise independent permutations[C] //Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing. N Y, USA: ACM, 1998: 327-336. [23] 章宁,陈钦. 基于TF-IDF算法的P2P贷款违约预测模型[J]. 计算机应用, 2018, 38(10): 3042-3047. ZHANG Ning, CHEN Qin. P2P loan default prediction model based on TF-IDF algorithm[J]. Application Research of Computers, 2018, 38(10): 3042-3047. [24] JAISWAL A, BABU A R, ZADEH M Z, et al. A survey on contrastive self-supervised learning[J]. Technologies, 2020, 9(1): 2. [25] 王永贵,郑泽,李玥. Word2vec-ACV: OOV语境含义的词向量生成模型[J]. 计算机应用研究, 2019, 36(6): 1623-1628. WANG Yonggui, ZHENG Ze, LI Yue. Word2vec-ACV: word vector generation model of OOV context meaning[J]. Application Research of Computers, 2019, 36(6): 1623-1628. [26] FARAMARZI N S, DARA A, BANERJEE R. Combining attention-based models with the MeSH ontology for semantic textual similarity in clinical notes[C] //2022 IEEE 10th International Conference on Healthcare Informatics(ICHI). N Y, USA: IEEE, 2022: 74-83. [27] 周昊. 基于音形码的中文敏感词变形体检测[D]. 南京:南京大学, 2020. ZHOU Hao. Research on Chinese deformation sensitive word detection[D]. Nanjing: Nanjing University, 2020. [28] CHRISTIANI T, PAGH R. Set similarity search beyond minhash[C] //Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing. N Y, USA: ACM, 2017: 1094-1107. [29] 沈晓鹰. 网约车服务中的位置隐私保护方法研究[D]. 北京:北京邮电大学, 2021. SHEN Xiaoying. Research on location privacy protection in Ride-Hailing service[D]. Beijing: Beijing University of Posts and Telecommunications, 2021. [30] THORUP M. Bottom-k and priority sampling, set similarity and subset sums with minimal independence[C] //Acm Symposium on Theory of Computing. N Y, USA: ACM, 2013: 371-380. [31] WOOD G. Ethereum: a secure decentralised generalised transaction ledger[J]. Ethereum Project Yellow Paper, 2014,(151): 1-32. [32] DABBAGH M, CHOO K K R, BEHESHTI A, et al. A survey of empirical performance evaluation of permissioned blockchain platforms: challenges and opportunities[J]. Computers & Security, 2021, 100: 102078. |
| [1] | 黄其萌,刘兆伟,杜贞斌. 基于惩罚机制的Gossip认证算法在车联网中的应用[J]. 山东大学学报 (工学版), 2021, 51(2): 74-82. |
| [2] | 龙柏,曾宪宇,李徵,刘淇. 电商商品嵌入表示分类方法[J]. 山东大学学报(工学版), 2018, 48(3): 17-24. |
| [3] | 陈大伟,闫昭*,刘昊岩. SVD系列算法在评分预测中的过拟合现象[J]. 山东大学学报(工学版), 2014, 44(3): 15-21. |
|
||
