PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest
In this paper, we propose a new solution for addressing the content cold-start problem in industry-scale search and recommender systems. Compared to prior approaches, we have made the following new contributions: 1) our solution spans the entire multi-stage funnel and generalizes well for both search and recommendation surfaces, 2) our solution reduces bias favoring existing content, allowing more accurate model prediction across content types and reducing short-term tradeoffs associated with high volumes of explicit content exploration, 3) our solution is evaluated with a scalable measurement framework that enables fast short-term experimentation while validating long-term impact. We hav...
| Authors | Olafur Gudmundsson, Bo Zhao, Huayi Liao et al. |
|---|---|
| Primary category | cs.IR |
| Published | 24 July 2026 |
| Last updated at source | 24 July 2026 |
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