Abstract
We proposes a departure behavior prediction algorithm to predict the user’s departure behavior. The k-core decomposition is conducted on the graph. By considering the positive and negative affect users obtain, we calculate a score for each user. Finally, the user is predicted by the sliding window model. Experiments show that the DBP algorithm has a high prediction.
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