A multimodal attention network that produces per-user-item weight vectors improves metric-learning based top-n recommendation over strong baselines.
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User Diverse Preference Modeling by Multimodal Attentive Metric Learning
A multimodal attention network that produces per-user-item weight vectors improves metric-learning based top-n recommendation over strong baselines.