mlsanityData to 7 Oct 2026

OKG: On-the-Fly Keyword Generation in Sponsored Search Advertising

arXiv 2412.03577 ↗First posted 18 Nov 2024cs.IR cs.AIcited by 1

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Abstract (arXiv)

Current keyword decision-making in sponsored search advertising relies on large, static datasets, limiting the ability to automatically set up keywords and adapt to real-time KPI metrics and product updates that are essential for effective advertising. In this paper, we propose On-the-fly Keyword Generation (OKG), an LLM agent-based method that dynamically monitors KPI changes and adapts keyword generation in real time, aligning with strategies recommended by advertising platforms. Additionally, we introduce the first publicly accessible dataset containing real keyword data along with its KPIs across diverse domains, providing a valuable resource for future research. Experimental results show that OKG significantly improves keyword adaptability and responsiveness compared to traditional methods. The code for OKG and the dataset are available at https://github.com/sony/okg.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 10 of its 33 references that are in the map. First posted on arXiv 18 Nov 2024.

Builds on

10 of 33 references.

References · 10

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,462
  4. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
  5. 2014Sequence to Sequence Learning with Neural Networkscited by 2,974
  6. 2017Billion-scale similarity search with GPUscited by 2,477
  7. 2014Conditional Generative Adversarial Netscited by 2,152
  8. 2023Large Language Models are Built-in Autoregressive Search Enginescited by 26
  9. 2019An end-to-end Generative Retrieval Method for Sponsored Search Engine --Decoding Efficiently into a Closed Target Domaincited by 12
  10. 2019Domain-Constrained Advertising Keyword Generationcited by 8

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Citing papers per year: 2025: 1.

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  1. 2025OMS: On-the-fly, Multi-Objective, Self-Reflective Ad Keyword Generation via LLM Agent
  2. 2025KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits
  3. 2026Interactor: Agentic RL oriented Iterative Creation for Ad Description Generation in Sponsored Search
  4. 2026NaiAD: Initiate Data-Driven Research for LLM Advertising
  5. 2026AD-Bench: A Real-World, Trajectory-Aware Advertising Analytics Benchmark for LLM Agents
  6. 2026UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising
  7. 2025LLMs for Customized Marketing Content Generation and Evaluation at Scale
  8. 2025Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising