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SMART system boosts ad conversion by 27.6% using LLM-augmented retrieval

By PulseAugur Editorial · [2 sources] ·

Researchers have developed SMART, a novel retrieval system designed to optimize Dynamic Product Ads (DPAs) by intelligently combining keyword-based and LLM-based search methods. This approach addresses the high costs and lexical mismatch issues associated with using LLMs for large-scale product catalog retrieval. SMART adaptively routes users to LLM-powered semantic prospecting only when initial keyword searches show gaps, significantly reducing LLM inference costs while maintaining retargeting performance. In a live A/B test at Snap, SMART demonstrated a substantial improvement in ad conversion rates. AI

IMPACT This hybrid retrieval system could significantly reduce the cost of deploying LLMs for large-scale recommendation and advertising systems.

RANK_REASON Publication of a research paper detailing a new system and its performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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

SMART system boosts ad conversion by 27.6% using LLM-augmented retrieval

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Publication of a research paper detailing a new system and its performance metrics. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Congfei Zhang, Jingxiao Ma, Xiaodong Liu, Hsiang-wei Chao, Siman Wang, Ge Liu, Shantanu Aggarwal, Vincent Zhang, Meghana Missula, Rachel Liao, Zichu Li, Xiao Bai, Yunzhi Zhou, Yajun Wang, Zhe Liu, Jinchao Li, Yu Zhang ·

    SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads

    arXiv:2607.23121v1 Announce Type: cross Abstract: Dynamic Product Ads (DPA) require retrieving relevant items from multi-million product catalogs, balancing two competing objectives: retargeting (re-surfacing known interests) and prospecting (discovering new categories). While La…

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

    SMART: LLM-Augmented Hybrid Retrieval for Dynamic Product Ads

    Dynamic Product Ads (DPA) require retrieving relevant items from multi-million product catalogs, balancing two competing objectives: retargeting (re-surfacing known interests) and prospecting (discovering new categories). While Large Language Models (LLMs) capture semantic intent…

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