mlsanityData to 14 Oct 2026

KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits

arXiv 2601.05257 ↗First posted 20 Oct 2025cs.IR cs.AIcited by 0

On the map: LLM agents and tool use → Web, search, and research agents

Abstract (arXiv)

Sponsored search advertising (SSA) requires advertisers to constantly adjust keyword strategies. While bid adjustment and keyword generation are well-studied, keyword pruning-refining keyword sets to enhance campaign performance-remains under-explored. This paper addresses critical inefficiencies in current practices as evidenced by a dataset containing 0.5 million SSA records from a pharmaceutical advertiser on search engine Meituan, China's largest delivery platform. We propose KP-Agent, an LLM agentic system with domain tool set and a memory module. By modeling keyword pruning within a contextual bandit framework, KP-Agent generates code snippets to refine keyword sets through reinforcement learning. Experiments show KP-Agent improves cumulative profit by up to 49.28% over baselines.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Web, search, and research agents, one of 16 directions in LLM agents and tool use. Builds on 6 of its 26 references that are in the map. First posted on arXiv 20 Oct 2025.

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6 of 26 references.

References · 6

  1. 2024EHRAgent: Code Empowers Large Language Models for Few-shot Complex Tabular Reasoning on Electronic Health Recordscited by 78
  2. 2013Real-time Bidding for Online Advertising: Measurement and Analysiscited by 32
  3. 2025RTBAgent: A LLM-based Agent System for Real-Time Biddingcited by 14
  4. 2019Domain-Constrained Advertising Keyword Generationcited by 8
  5. 2022Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Frameworkcited by 4
  6. 2023Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agendacited by 1

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  3. 2024Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding
  4. 2026LLM Advertisement based on Neuron Auctions
  5. 2023Offline Reinforcement Learning for Optimizing Production Bidding Policies
  6. 2026Mechanism Design for Quality-Preserving LLM Advertising
  7. 2026DARA: Few-shot Budget Allocation in Online Advertising via In-Context Decision Making with RL-Finetuned LLMs
  8. 2026LBM: Hierarchical Large Auto-Bidding Model via Reasoning and Acting