An Automated and Data-Driven Bidding Strategy for Online Auctions

DOI10.1287/IJOC.1100.0397zbMath1243.91056OpenAlexW3124863659MaRDI QIDQ2899117

Shu Zhang, Wolfgang Jank

Publication date: 28 July 2012

Published in: INFORMS Journal on Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1287/ijoc.1100.0397

zbMATH Keywords

functional datadynamics model selectionforecasting competitiononline auction bidding

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Auctions, bargaining, bidding and selling, and other market models (91B26) Internet topics (68M11)

Related Items (3)

Setting Reserve Prices in Second-Price Auctions with Unobserved Bids ⋮ Optimal pricing using online auction experiments: a Pólya tree approach ⋮ E-loyalty networks in online auctions

Uses Software

• fda (R)

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