JODIE predicts future user-item interactions by linearly projecting user embeddings in time, and reports at least 20% MRR improvement over six baselines on four datasets.
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Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
JODIE predicts future user-item interactions by linearly projecting user embeddings in time, and reports at least 20% MRR improvement over six baselines on four datasets.