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| Category | Title | Authors | Publication year | Publisher |
|
| Privacy protection of QoS record | Privacy Preserving Model: A New Scheme for Auditing Cloud Stakeholders [37] | Razaque et al. | 2017 | Journal of Cloud Computing |
| Amplified LSH-Based Recommender Systems with Privacy Protection [25] | Chi et al. | 2020 | Concurrency and Computation: Practice and Experience |
| Security-Aware Dynamic Scheduling for Real-Time Optimization in Cloud-Based Industrial Applications [38] | Meng et al. | 2021 | IEEE Transactions on Industrial Informatics |
| An Optimization and Auction Based Incentive Mechanism to Maximize Social Welfare for Mobile Crowdsourcing [39] | Wang et al. | 2019 | IEEE Transactions on Computational Social Systems |
| A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications [40] | Tang et al. | 2020 | Tsinghua Science and Technology |
|
| The relevance of QoS natures | Business Correlation-Aware Modeling and Services Selection in Business Service Ecosystem [27] | Luo et al. | 2013 | International Journal of Computer Integrated Manufacturing |
| Multi-Dimensional Quality-Driven Service Recommendation with Privacy-Preservation in Mobile Edge Environment [28] | Zhong et al. | 2020 | Computer Communications |
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| The service evaluation based on QoS record | Deep Sequential Model for Anchor Recommendation on Live Streaming Platforms [41] | Zhang et al. | 2021 | Big Data Mining and Analytics |
| Multi-Dimensional Quality-Driven Service Recommendation with Privacy-Preservation in Mobile Edge Environment [28] | Zhong et al. | 2020 | Computer Communications |
| Rater Credibility Assessment in Web Services Interactions [21] | Malik et al. | 2009 | World Wide Web Journal |
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| The weight distribution of QoS record | How Textual Quality of Online Reviews Affect Classification Performance: A Case of Deep Learning Sentiment Analysis [42] | Li et al. | 2020 | Neural Computing and Applications |
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