mlsanityData to 7 Oct 2026

LLM-Driven E-Commerce Marketing Content Optimization: Balancing Creativity and Conversion

arXiv 2505.23809 ↗First posted 27 May 2025cs.CL cs.AI cs.IRcited by 7

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Abstract (arXiv)

As e-commerce competition intensifies, balancing creative content with conversion effectiveness becomes critical. Leveraging LLMs' language generation capabilities, we propose a framework that integrates prompt engineering, multi-objective fine-tuning, and post-processing to generate marketing copy that is both engaging and conversion-driven. Our fine-tuning method combines sentiment adjustment, diversity enhancement, and CTA embedding. Through offline evaluations and online A/B tests across categories, our approach achieves a 12.5 % increase in CTR and an 8.3 % increase in CVR while maintaining content novelty. This provides a practical solution for automated copy generation and suggests paths for future multimodal, real-time personalization.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 33 of its 57 references that are in the map. First posted on arXiv 27 May 2025.

Builds on

33 of 57 references.

References · 33

  1. 2024LLM Maybe LongLM: Self-Extend LLM Context Window Without Tuningcited by 133
  2. 2024Enhancing Code LLMs with Reinforcement Learning in Code Generation: A Surveycited by 82
  3. 2024LLM-based NLG Evaluation: Current Status and Challengescited by 71
  4. 2024Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformerscited by 35
  5. 2025From Mind to Machine: The Rise of Manus AI as a Fully Autonomous Digital Agentcited by 33
  6. 2024Harnessing Earnings Reports for Stock Predictions: A QLoRA-Enhanced LLM Approachcited by 24
  7. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  8. 2024Research on Splicing Image Detection Algorithms Based on Natural Image Statistical Characteristicscited by 20
  9. 2024Enhance Image-to-Image Generation with LLaVA-generated Promptscited by 20
  10. 2024Attention Mechanism and Context Modeling System for Text Mining Machine Translationcited by 15
  11. 2024A Neural Matrix Decomposition Recommender System Model based on the Multimodal Large Language Modelcited by 12
  12. 2024Machine Learning-Based Research on the Adaptability of Adolescents to Online Educationcited by 11
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  4. 2025Data Augmentation Through Random Style Replacementcited by 9
  5. 2024Contextual Bandits for Unbounded Context Distributionscited by 8
  6. 2024Research on Effectiveness Evaluation and Optimization of Baseball Teaching Method Based on Machine Learningcited by 8
  7. 2025Multidimensional precipitation index prediction based on CNN-LSTM hybrid frameworkcited by 8
  8. 2025Personalized Risks and Regulatory Strategies of Large Language Models in Digital Advertisingcited by 8
  9. 2025User Behavior Analysis in Privacy Protection with Large Language Models: A Study on Privacy Preferences with Limited Datacited by 8
  10. 2024CCi-YOLOv8n: Enhanced Fire Detection with CARAFE and Context-Guided Modulescited by 7
  11. 2024Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention modelcited by 7
  12. 2025Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraintscited by 7
  13. 2025Psychological Health Knowledge-Enhanced LLM-based Social Network Crisis Intervention Text Transfer Recognition Methodcited by 7
  14. 2025II-NVM: Enhancing Map Accuracy and Consistency with Normal Vector-Assisted Mappingcited by 7
  15. 2025Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecturecited by 7
  16. 2025CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstructioncited by 7
  17. 2025A CT Image Classification Network Framework for Lung Tumors Based on Pre-trained MobileNetV2 Model and Transfer learning, And Its Application and Market Analysis in the Medical fieldcited by 6
  18. 2025Research on Personalized Medical Intervention Strategy Generation System based on Group Relative Policy Optimization and Time-Series Data Fusioncited by 6
  19. 2025Research on feature fusion and multimodal patent text based on graph attention networkcited by 5
  20. 2025Automated Parking Trajectory Generation Using Deep Reinforcement Learningcited by 4
  21. 2025Applications and Effect Evaluation of Generative Adversarial Networks in Semi-Supervised Learningcited by 2

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 5; 2026: 2.

7 papers.

  1. 2025Meta-Learning for Cold-Start Personalization in Prompt-Tuned LLMscited by 5
  2. 2025RLHF Fine-Tuning of LLMs for Alignment with Implicit User Feedback in Conversational Recommenderscited by 5
  3. 2025Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chaincited by 2
  4. 2025LLM-Augmented Symptom Analysis for Cardiovascular Disease Risk Prediction: A Clinical NLPcited by 2
  5. 2026Valley3: Scaling Omni Foundation Models for E-commercecited by 1
  6. 2025Multimodal Foundation Model-Driven User Interest Modeling and Behavior Analysis on Short Video Platformscited by 0
  7. 2026LLM-Based Intelligent Notification Composition: From Static Personalization to Context-Aware Persuasive Messagingcited by 0