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arXiv:2311.07601cs.CY

Online Advertisements with LLMs: Opportunities and Challenges

Soheil Feizi, MohammadTaghi Hajiaghayi, Keivan Rezaei, Suho Shin

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Abstract

This paper explores the potential for leveraging Large Language Models (LLM) in the realm of online advertising systems. We introduce a general framework for LLM advertisement, consisting of modification, bidding, prediction, and auction modules. Different design considerations for each module are presented. These design choices are evaluated and discussed based on essential desiderata required to maintain a sustainable system. Further fundamental questions regarding practicality, efficiency, and implementation challenges are raised for future research. Finally, we exposit how recent approaches on mechanism design for LLM can be framed in our unified perspective.

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cs.CYComputers and Society cs.AIArtificial Intelligence

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Aug 2025 to Aug 2025. Found in 2 HN submissions from Nov 2023 to Jan 2024. Open submission discussions.

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    • > or the sponsored advertiser will somehow be on recommendation list of AI answer? LLMs aren't new. PPC ads are as as old as the mountains. People have been trying[1] to glue them together (with RAG), for quite some time now. IIUC, this also happens to be the core strategy of a…

      woadwarrior01View on HNParent context

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