mlsanityData to 14 Oct 2026

Optimizing Search Advertising Strategies: Integrating Reinforcement Learning with Generalized Second-Price Auctions for Enhanced Ad Ranking and Bidding

arXiv 2405.13381 ↗First posted 22 May 2024cs.LGcited by 9

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Abstract (arXiv)

This paper explores the integration of strategic optimization methods in search advertising, focusing on ad ranking and bidding mechanisms within E-commerce platforms. By employing a combination of reinforcement learning and evolutionary strategies, we propose a dynamic model that adjusts to varying user interactions and optimizes the balance between advertiser cost, user relevance, and platform revenue. Our results suggest significant improvements in ad placement accuracy and cost efficiency, demonstrating the model's applicability in real-world scenarios.

Key facts. Cited by 9 papers in the map (data through 14 Oct 2026). Builds on 9 of its 15 references that are in the map. First posted on arXiv 22 May 2024.

Builds on

9 of 15 references.

References · 9

  1. 2022A Study of the Attention Abnormality in Trojaned BERTscited by 48
  2. 2022ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classificationcited by 45
  3. 2023Attention-Enhancing Backdoor Attacks Against BERT-based Modelscited by 32
  4. 2024Harnessing XGBoost for Robust Biomarker Selection of Obsessive-Compulsive Disorder (OCD) from Adolescent Brain Cognitive Development (ABCD) datacited by 26
  5. 2024Task-Agnostic Detector for Insertion-Based Backdoor Attackscited by 23
  6. 2023Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networkscited by 22
  7. 2024Real-Time Pill Identification for the Visually Impaired Using Deep Learningcited by 21
  8. 2023RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inferencecited by 12
  9. 2024Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Modelcited by 10

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Citing papers per year: 2024: 9.

9 papers.

  1. 2024Time Series Modeling for Heart Rate Prediction: From ARIMA to Transformerscited by 35
  2. 2024Deep Learning-based Anomaly Detection and Log Analysis for Computer Networkscited by 23
  3. 2024Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU modelcited by 18
  4. 2024Research on the Application of Computer Vision Based on Deep Learning in Autonomous Driving Technologycited by 9
  5. 2024Advanced AI Framework for Enhanced Detection and Assessment of Abdominal Trauma: Integrating 3D Segmentation with 2D CNN and RNN Modelscited by 9
  6. 2024Exploiting Diffusion Prior for Out-of-Distribution Detectioncited by 7
  7. 2024Transforming Movie Recommendations with Advanced Machine Learning: A Study of NMF, SVD,and K-Means Clusteringcited by 2
  8. 2024Analyzing Multi-Head Attention on Trojan BERT Modelscited by 0
  9. 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithmscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Algorithmic Collusion of Pricing and Advertising on E-commerce Platforms
  2. 2026AHBid: An Adaptable Hierarchical Bidding Framework for Cross-Channel Advertising
  3. 2026Learning to Allocate Incentives for Incentivized Advertising via Offline Model-Based Reinforcement Learning
  4. 2026UniPolicy: Unified Objective-Specific Policies for Generative Search Advertising
  5. 2025Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards
  6. 2024Multi-Scenario Combination Based on Multi-Agent Reinforcement Learning to Optimize the Advertising Recommendation System
  7. 2024Auto-bidding in real-time auctions via Oracle Imitation Learning (OIL)
  8. 2026HOBA: Hierarchical On-Policy Bidding Agents for Adaptive Online Advertising