Self-Attentive Sequential Recommendation

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dation [9]. One line of work seeks to use neural networks to extract item features (e.g. images [10], [11], text [12], [13], etc.) for content-aware recommendation. Another line of work seeks to replace conventional MF. For example, NeuMF [14] estimates user preferences via Multi-Layer Perceptions (MLP),

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