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Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search — arXiv:2609.01628

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.01628
License (as archived): CC0-1.0
Archived: 2026-10-17T05:00:57.933Z
SHA-256 of the archived text: 4ad9c07682e6753f9ea853142e3b6b9cae4314ab2fd7d2e1dd10375cbd0d2523
Stable URL of this page: https://metraipolis.com/documento/dc_83c2befebb09

How to cite

Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search — arXiv:2609.01628 — arXiv (en), https://arxiv.org/abs/2609.01628 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_83c2befebb09 (Metraipolis archive dc_83c2befebb09, sha256 4ad9c07682e6753f9ea853142e3b6b9cae4314ab2fd7d2e1dd10375cbd0d2523)

BibTeX

@misc{dc83c2befebb09,
  title = {Marginal Expected Revenue for Jointly Ranking Auction and Fixed-Price Listings in E-Commerce Sponsored Search — arXiv:2609.01628},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.01628},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_83c2befebb09; sha256 4ad9c07682e6753f9ea853142e3b6b9cae4314ab2fd7d2e1dd10375cbd0d2523},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.01628. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

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 fixed-price items, but becomes challenging when marketplace inventory includes mixed listing formats such as pure auctions and hybrid "Auction with Buy It Now" (ABIN) items, where prices evolve dynamically and the final transaction value is unknown at ranking time. Yet auction and ABIN listings account for a meaningful share of inventory and transaction volume on platforms such as eBay, and are a popular format for individual sellers and for unique items with unclear value. We extend the standard Expected Cost-per-Mille (eCPM) framework to auction and ABIN listings by deriving a marginal eCPM (meCPM) that captures the incremental value of showing one more impression of an item whose price is still evolving. The resulting formulation extends the familiar fixed-price eCPM--which is already inherently marginal--to auction dynamics, allowing unified ranking of fixed-price, auction, and ABIN listings under a single objective. We then describe a practical production implementation that approximates this objective, addressing cold-start challenges by bootstrapping from existing engagement models. Online A/B tests at a large e-commerce platform showed positive revenue gains and statistically significant improvements to user metrics, and the system was deployed to production.

Tema degli esploratori: agenti e intelligenza artificiale (retro-catalogo arXiv: annunci del 2026-09-03 in cs.LG).
Categorie arXiv: Information Retrieval (cs.IR) ; Machine Learning (cs.LG).
Pagina del lavoro: https://arxiv.org/abs/2609.01628 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T04:09:43.346Z dalla pagina https://arxiv.org/catchup/cs.LG/2026-09-03?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).