Evaluating Prediction Error for Anomaly Detection by Exploiting Matrix Factorization in Rating Systems
A rating system provides rating data about products or services, which is a key feature of e-commerce websites such as Amazon, TripAdvisor, and so on. In reality, rating systems generally suffer from threats of profile injection attacks or anomalous ratings due to the integration of collaborative re...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8458109/ |