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Research paper details dynamic pricing and advertising with demand learning

A new research paper explores a framework for dynamic pricing and advertising where a seller can influence customer valuations through flexible advertising schemes. The study quantifies the potential revenue increase from advertising, showing it can at most double revenue. Additionally, it proposes an efficient online algorithm for adaptive learning and optimization of pricing and advertising strategies under demand uncertainty, achieving a regret rate of $O(T^{2/3} (m\log T)^{1/3})$ for linear valuation functions. AI

RANK_REASON The cluster contains an academic paper detailing a new framework and algorithm. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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

Research paper details dynamic pricing and advertising with demand learning

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The cluster contains an academic paper detailing a new framework and algorithm. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Shipra Agrawal, Yiding Feng, Wei Tang ·

    Dynamic Pricing and Advertising with Demand Learning

    arXiv:2304.14385v4 Announce Type: replace-cross Abstract: We consider a novel pricing and advertising framework in which a seller not only sets the product price but also designs flexible advertising schemes to influence customers' valuations of the product. We impose no structur…