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Leveraging Multi-level Dependency of Relational Sequences for Social Spammer Detection
Our study investigates the spammer detection problem in the context of multi-relation social networks, and makes an attempt to fully exploit the sequences of heterogeneous relations for enhancing the detection accuracy.
Location-Centered House Price Prediction: A Multi-Task Learning Approach
Regarding the choice of prediction model, we observe that a variety of approaches either consider the entire house data for modeling, or split the entire data and model each partition independently.
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