Papers with greedy procedure
Thread Popularity Prediction and Tracking with a Permutation-invariant Model (D18-1)
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| Challenge: | a task of thread popularity prediction and tracking aims to recommend a few popular comments to subscribed users when a batch of new comments arrive in a discussion thread. |
| Approach: | They propose a deep neural network architecture to model the expected cumulative reward of a recommendation (action) they employ a greedy procedure to approximate the action that maximizes the predicted Q-value . |
| Outcome: | The proposed approach outperforms the state-of-the-art on five real-world datasets. |