Online Advertisements with LLMs: Opportunities and Challenges

• URL: http://arxiv.org/abs/2311.07601v4
• Date: Mon, 9 Sep 2024 08:56:31 GMT
• Title: Online Advertisements with LLMs: Opportunities and Challenges
• Authors: Soheil Feizi, MohammadTaghi Hajiaghayi, Keivan Rezaei, Suho Shin,
• Abstract summary: 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.
• Score: 51.96140910798771
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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