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Category | Title | Authors | Year | Publisher |
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Feedback incentive of user rating | Community-Diversified Influence Maximization in Social Networks [16] | Li et al. | 2020 | Information Systems |
Hybrid Attacks on Model-Based Social Recommender Systems [32] | Yu et al. | 2017 | Physica A: Statistical Mechanics & Its Applications |
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Identification and punishment of malicious rating | Community-Diversified Influence Maximization in Social Networks [16] | Li et al. | 2020 | Information Systems |
Rater Credibility Assessment in Web Services Interactions [21] | Malik et al. | 2009 | World Wide Web Journal |
Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis [33] | Li et al. | 2016 | IEICE Transactions on Information and System |
Identifying Fake Feedback for Effective Trust Management in Cloud Environments [34] | Noor et al. | 2013 | LNCS |
A. Krause. Incentive-Compatible Forecasting Competitions [35] | Witkowski et al. | 2018 | Thirty-Second AAAI Conference on Artificial Intelligence |
Study on the Trust Evaluation Approach Based on Cloud Model [36] | Zhang et al. | 2013 | Chinese Journal of Computers |
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Identification and correction of preference ratings | Community-Diversified Influence Maximization in Social Networks [16] | Li et al. | 2020 | Information Systems |
Rater Credibility Assessment in Web Services Interactions [21] | Malik et al. | 2009 | World Wide Web Journal |
Reputation Measurement and Malicious Feedback Rating Prevention in Web Service Recommendation System [31] | Wang et al. | 2015 | IEEE Transactions on Services Computing |
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Weight allocation of user ratings | A Time-Aware Dynamic Service Quality Prediction Approach for Services [7] | Jin et al. | 2020 | Tsinghua Science and Technology |
An Attention-Based Category-Aware GRU Model for Next POI Recommendation [15] | Liu et al. | 2021 | International Journal of Intelligent Systems |
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