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OneModel unifies platform ranking systems, boosting engagement and ad performance

Researchers have introduced OneModel, a unified framework designed to consolidate multiple ranking systems within large-scale platforms like Xiaohongshu. This approach aims to improve user representation and reduce engineering costs by mapping diverse user behaviors into shared sequences. The framework incorporates scenario-aware modulation for balancing cross-stream and stream-specific learning, along with optimizations for production deployment and online serving. Initial deployments have shown significant improvements in user engagement and advertising metrics. AI

IMPACT This unified approach to ranking systems could streamline development and improve user experience across diverse platform functionalities.

RANK_REASON The cluster contains an academic paper detailing a new framework for information retrieval systems.

Read on arXiv cs.IR (Information Retrieval) →

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

OneModel unifies platform ranking systems, boosting engagement and ad performance

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Research
The cluster contains an academic paper detailing a new framework for information retrieval systems.
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2 independent sources
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paper, product, infra
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High
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38 days old
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COVERAGE [2]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yao Hu ·

    OneModel: A Unified Foundation for Platform-Scale Multi-Scenario Ranking

    Platform-scale recommender systems often span multiple business streams such as organic recommendation, advertising, and merchant services, where user behaviors form a continuous cross-stream trajectory. Maintaining separate ranking systems fragments user representations and incr…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Yao Hu ·

    OneModel: A Unified Foundation for Platform-Scale Multi-Scenario Ranking

    Platform-scale recommender systems often span multiple business streams such as organic recommendation, advertising, and merchant services, where user behaviors form a continuous cross-stream trajectory. Maintaining separate ranking systems fragments user representations and incr…