Alibaba Cloud Developer
Jun 14, 2018 · Artificial Intelligence
Self-Attention Boosts Heterogeneous User Behavior Modeling for Recommendations
This paper proposes a novel attention‑based framework that groups and encodes heterogeneous user behavior sequences into separate semantic subspaces, applies self‑attention to capture inter‑behavior influences, and demonstrates faster training and comparable or improved recommendation performance across multiple tasks and datasets.
Self-Attentionheterogeneous behaviormulti-task learning
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