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New meCPM framework unifies e-commerce search ranking for auctions and fixed-price items

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework called marginal Expected Cost-per-Mille (meCPM) to optimize e-commerce search rankings. This framework unifies the ranking of fixed-price, auction, and hybrid auction-with-buy-it-now listings. The meCPM approach captures the incremental value of displaying an impression for an item whose price is still dynamic, extending the traditional eCPM model. An implementation of this objective was successfully deployed on a large e-commerce platform, demonstrating positive revenue gains and improvements in user metrics. AI

IMPACT Enhances revenue optimization for e-commerce platforms by improving search result ranking.

RANK_REASON Academic paper detailing a new framework for e-commerce search ranking. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.LG →

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

New meCPM framework unifies e-commerce search ranking for auctions and fixed-price items

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Academic paper detailing a new framework for e-commerce search ranking. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Greg Kocher, Sanjana Arun ·

    Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search

    arXiv:2609.01628v1 Announce Type: cross Abstract: E-commerce search ranking must balance multiple objectives--relevance, user engagement, and platform revenue--when allocating impression slots to competing listings. Estimating the expected revenue component is well understood for…

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