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PailitaoMMSearch scales multimodal search for Taobao, boosting transactions

By PulseAugur Editorial · [2 sources] ·

A technical report details PailitaoMMSearch, a unified end-to-end multimodal search system designed for open-ended image-text queries and diverse shopping intents. The system scales data, intent, and scenarios by employing continual pre-training, supervised fine-tuning, and reinforcement learning. Deployed on Taobao Pailitao, it demonstrated significant improvements in user engagement and transactions, including a 17.90% increase in item page views and a 27.04% rise in transactions. AI

IMPACT This system's success in improving e-commerce metrics suggests a path for generative retrieval models in large-scale, multimodal applications.

RANK_REASON The cluster contains a technical report published on arXiv detailing a new multimodal search system.

Read on arXiv cs.IR (Information Retrieval) →

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

PailitaoMMSearch scales multimodal search for Taobao, boosting transactions

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The cluster contains a technical report published on arXiv detailing a new multimodal search system.
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COVERAGE [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 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search

    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 Technical Report: Scaling Generative Retrieval to Unified End-to-End Multimodal Search

    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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