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New PlatformBid benchmark evaluates auto-bidding from unified ad platform view

Researchers have introduced PlatformBid, a new benchmark designed to evaluate auto-bidding algorithms from the perspective of a unified advertising platform. This benchmark addresses the limitations of existing systems by considering both advertiser conversions and platform revenue, and it includes three distinct competition settings: homogeneous, heterogeneous, and promotional. The study also proposes a novel auto-bidding method called BidFlow, which utilizes flow-matching techniques to better manage dynamic competitive environments. AI

IMPACT Introduces a new benchmark and method for optimizing ad bidding strategies, potentially improving revenue for advertising platforms.

RANK_REASON The cluster contains a research paper introducing a new benchmark and a novel method. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New PlatformBid benchmark evaluates auto-bidding from unified ad platform view

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The cluster contains a research paper introducing a new benchmark and a novel method. [lever_c_demoted from research: ic=1 ai=0.7]
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57 days old
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shengtian Yang, Yewen Li, Peng Jiang, Zhiyi Lyu, Bo An, Peng Jiang, Qingpeng Cai, Lei Feng ·

    PlatformBid: An Auto-Bidding Benchmark from a Unified Advertising Platform's Perspective

    arXiv:2607.27265v1 Announce Type: new Abstract: Real-time bidding is central to computational advertising, comprising three elements: Supply Side Platform (SSP) selling ad impressions, Demand Side Platform (DSP) bidding for advertisers, and Ad Exchange conducting auctions between…