An effective approach for the protection of user commodity viewing privacy in e-commerce website

Wu, Zongda; Shen, Shigen; Zhou, Haiping; Li, Huxiong; Lu, Chenglang; Zou, Dongdong

doi:10.1016/j.knosys.2021.106952

Cited by 141 publications

(42 citation statements)

References 25 publications

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“…Therefore, we believe that the use of the bHHOSRL_KELM model can make a more accurate clinical decision-making. Due to its great optimization capability, the proposed HHOSRL algorithm can also be applied to solve other problems, such as problems in video deblurring [ 73 ], microgrid planning [ 74 ], information retrieval services [ [75] , [76] , [77] ], image dehazing [ 78 ], kayak cycle phase segmentation [ 79 ], human motion capture [ 80 ], fault detection [ 81 ], video coding optimization [ 82 ], outlier detection [ 83 ], location-based services [ 84 , 85 ], image retrieval [ 86 ], multivariate time series analysis [ 87 ] and multi-objective problems [ 88 ].…”

Section: Discussionmentioning

confidence: 99%

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

Han

Heidari

et al. 2022

Computers in Biology and Medicine

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Section: Discussionmentioning

confidence: 99%

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

Han

Heidari

et al. 2022

Computers in Biology and Medicine

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“…Due to its strong optimization capability, the developed MSMA can also be applied to other optimization problems, such as multi-objective or many optimization problems [75][76][77], big data optimization problems [78], and combination optimization problems [79]. Moreover, it can be applied to tackle the practical problems such as medical diagnosis [80][81][82][83], location-based service [84,85], service ecosystem [86], communication system conversion [87][88][89], kayak cycle phase segmentation [90], image dehazing and retrieval [91,92], information retrieval service [93][94][95], multi-view learning [96], human motion capture [97], green supplier selection [98], scheduling [99][100][101], and microgrid planning [102] problems.…”

Section: Discussionmentioning

confidence: 99%

Multi-Population Enhanced Slime Mould Algorithm and with Application to Postgraduate Employment Stability Prediction

2022

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In this study, the authors aimed to study an effective intelligent method for employment stability prediction in order to provide a reasonable reference for postgraduate employment decision and for policy formulation in related departments. First, this paper introduces an enhanced slime mould algorithm (MSMA) with a multi-population strategy. Moreover, this paper proposes a prediction model based on the modified algorithm and the support vector machine (SVM) algorithm called MSMA-SVM. Among them, the multi-population strategy balances the exploitation and exploration ability of the algorithm and improves the solution accuracy of the algorithm. Additionally, the proposed model enhances the ability to optimize the support vector machine for parameter tuning and for identifying compact feature subsets to obtain more appropriate parameters and feature subsets. Then, the proposed modified slime mould algorithm is compared against various other famous algorithms in experiments on the 30 IEEE CEC2017 benchmark functions. The experimental results indicate that the established modified slime mould algorithm has an observably better performance compared to the algorithms on most functions. Meanwhile, a comparison between the optimal support vector machine model and other several machine learning methods on their ability to predict employment stability was conducted, and the results showed that the suggested the optimal support vector machine model has better classification ability and more stable performance. Therefore, it is possible to infer that the optimal support vector machine model is likely to be an effective tool that can be used to predict employment stability.

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“…Privacy for the user of a service, in the digital framework, is an issue of transcendental relevance and there are numerous recent research studies that analyze this variable and its impact on the user (Chung et al, 2021;Lax et al, 2021;Pilton et al, 2021;Saura et al, 2021c;Wu et al, 2021). This has led competent authorities to develop specific regulations that allow users to manage their privacy preferences when they log on to a platform (Tamburri, 2020;Curry, 2021).…”

Section: Hypotheses and Research Modelmentioning

confidence: 99%

Evaluation of User Satisfaction and Trust of Review Platforms: Analysis of the Impact of Privacy and E-WOM in the Case of TripAdvisor

2021

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Technological advances have had many advantages like an E-WOM (Electronic Word of Mouth) that has become a very important and powerful tool for users who wish to share their knowledge, experiences and emotions about a product or service. But the use of virtual platforms may affect the privacy of users data. This present study has a twofold objective: first check if the privacy of users when using TripAdvisor, the world’s largest travel platform, has an impact on their satisfaction and trust on the platform. Secondly, the relationship between E-WOM and the variables users trust and satisfaction when using TripAdvisor is examined. In order to achieve the objectives set out, the sample of 390 persons was analyzed. The PLS-SEM method has been used to process the data and test the hypotheses. The results of the analysis have shown that there is a positive and direct relationship between TripAdvisor users’ privacy and satisfaction. The direct and positive relationship between users’ E-WOM and their degree of satisfaction and trust toward the platform has also been confirmed. This study makes a significant contribution to the academic literature on the variables studied, as previous studies presented different results.

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An effective approach for the protection of user commodity viewing privacy in e-commerce website

Cited by 141 publications

References 25 publications

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine

Multi-Population Enhanced Slime Mould Algorithm and with Application to Postgraduate Employment Stability Prediction

Evaluation of User Satisfaction and Trust of Review Platforms: Analysis of the Impact of Privacy and E-WOM in the Case of TripAdvisor

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