Leveraging Popularity Bias with Decoupled Unbiased Recall Models
In a March 27 livestream, Alibaba senior algorithm engineer Chen Zhihong will explain how popularity bias affects recommendation pipelines, review existing mitigation techniques, and introduce a decoupled domain‑adaptive unbiased dual‑tower recall model that leverages bias while preserving recommendation fairness.
On March 27, 19:00‑20:00, 大淘宝技术 and DataFun will livestream a talk by Alibaba senior algorithm engineer Chen Zhihong.
The session, “How to Leverage Popularity Bias? Exploring Decoupled Domain‑Adaptive Unbiased Recall Model,” explains popularity bias in recommendation pipelines, reviews current solutions, and presents an unbiased dual‑tower recall approach.
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