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Pinterest deploys PinEqualizer to improve content discovery and reduce bias

By PulseAugur Editorial · [2 sources] ·

Pinterest has developed and deployed a system called PinEqualizer to address the content cold-start problem in its large-scale search and recommendation engines. This system spans the entire multi-stage funnel, reducing bias towards existing content and improving model predictions across various content types. PinEqualizer has been in development and use at Pinterest for two years, leading to notable improvements in fresh content exploration, user engagement, and the overall health of its content ecosystem. AI

IMPACT This system's approach to content exploration and bias reduction could inform future recommender system designs.

RANK_REASON The cluster describes a research paper detailing a system developed and deployed by Pinterest.

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Pinterest deploys PinEqualizer to improve content discovery and reduce bias

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The cluster describes a research paper detailing a system developed and deployed by Pinterest.
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2 independent sources
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product, infra
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High
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64 days old
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Olafur Gudmundsson, Bo Zhao, Huayi Liao, Anna Kiyantseva, Sai Xiao, Heath Vinicombe, Mostafa Keikha, Luke DeLuccia, Zihao Chen, Junpeng Hou, Weijie Jiang, Bhawna Juneja, Andreanne Lemay, Wei-Ting Lin, Keyvan Moghadam, Jiaxing Qu, Zhiqing Rao, Zhihua Zhang ·

    PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest

    arXiv:2607.22518v1 Announce Type: cross Abstract: 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 s…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Zhihua Zhang ·

    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…

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