Tencent Cloud Developer
Aug 9, 2019 · Artificial Intelligence
Real-time Attention-based Look-alike Model (RALM) for Recommender Systems
The Real‑time Attention‑based Look‑alike Model (RALM) converts recommendation to a user‑user problem by representing items with aggregated seed‑user embeddings, employs shared projection, local and global attention towers, and enables instant, diverse, high‑CTR recommendations without retraining, as demonstrated by its deployment in WeChat “Look‑at”.
deep learninglook-alikereal-time attention
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