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English(EN) PailitaoMMSearch2.0 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search

PailitaoMMSearch 为淘宝扩展多模态搜索，促进交易

作者 PulseAugur 编辑部 · [2 个来源] ·

一份技术报告详细介绍了 PailitaoMMSearch，这是一个为开放式图文查询和多样化购物意图设计的统一端到端多模态搜索系统。该系统通过持续预训练、监督微调和强化学习来扩展数据、意图和场景。该系统已部署在淘宝拍立淘上，在用户参与度和交易方面取得了显著的改进，包括商品页面浏览量增加 17.90%，交易量增加 27.04%。 AI

影响 该系统在改善电子商务指标方面的成功表明了生成式检索模型在大规模、多模态应用中的发展方向。

排序理由 该集群包含一篇在 arXiv 上发表的技术报告，详细介绍了一个新的多模态搜索系统。

在 arXiv cs.IR (Information Retrieval) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

PailitaoMMSearch 为淘宝扩展多模态搜索，促进交易

本文如何被排名

Signal score
1 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Research
该集群包含一篇在 arXiv 上发表的技术报告，详细介绍了一个新的多模态搜索系统。
Source corroboration
2 independent sources
Multiple independent publishers reporting the same story raises confidence that it's real and newsworthy.
Topics
product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
2 days old
Coverage has settled into its steady-state source set.

完整方法见我们的编辑标准。

报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Xiaohan Ye, Zihan Gong, Jingqian Zhao, Lianyu Du, Yunmeng Shu, Xu Chen, Zesheng Zhou, Renchun You, Bocheng Chen, Jinsong Lan, Haihong Tang, Bo Zheng ·

    PailitaoMMSearch2.0 技术报告：将生成式检索扩展到统一的端到端多模态搜索

    arXiv:2610.36958v1 Announce Type: cross Abstract: Generative retrieval models have been increasingly adopted in search and recommendation systems. However, industrial generative retrieval models are commonly specialized to a fixed online scenario: they learn from scenario-specifi…

  2. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Bo Zheng ·

    PailitaoMMSearch2.0技术报告：将生成式检索扩展到统一的端到端多模态搜索

    Generative retrieval models have been increasingly adopted in search and recommendation systems. However, industrial generative retrieval models are commonly specialized to a fixed online scenario: they learn from scenario-specific interactions, support a narrow set of query form…

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