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Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis
The existence of negative links piques research interests in investigating whether properties and principles of signed networks differ from those of unsigned networks, and mandates dedicated efforts on link analysis for signed social networks.
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning
The attacker seeks to infer users' private-attribute information according to their items list and recommendations.
Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference
Experiments show the effectiveness of this approach in terms of preserving both privacy and utility.
Signed Link Prediction with Sparse Data: The Role of Personality Information
Predicting signed links in social networks often faces the problem of signed link data sparsity, i. e., only a small percentage of signed links are given.
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