Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Short summary

Caser, a new convolutional sequence embedding model, treats user interaction sequences as images to capture sequential patterns, outperforming state-of-the-art methods in top-N recommendations.

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