mlsanityData to 7 Oct 2026

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising

arXiv 2406.10239 ↗First posted 4 Jun 2024cs.IR cs.LGcited by 10

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Abstract (arXiv)

This paper proposes new methods to enhance click-through rate (CTR) prediction models using the Deep Interest Network (DIN) model, specifically applied to the advertising system of Alibaba's Taobao platform. Unlike traditional deep learning approaches, this research focuses on localized user behavior activation for tailored ad targeting by leveraging extensive user behavior data. Compared to traditional models, this method demonstrates superior ability to handle diverse and dynamic user data, thereby improving the efficiency of ad systems and increasing revenue.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 10 of its 21 references that are in the map. First posted on arXiv 4 Jun 2024.

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10 of 21 references.

References · 10

  1. 2023PLGSLAM: Progressive Neural Scene Represenation with Local to Global Bundle Adjustmentcited by 62
  2. 2024Large Language Model (LLM) AI text generation detection based on transformer deep learning algorithmcited by 23
  3. 2023Accel-GCN: High-Performance GPU Accelerator Design for Graph Convolution Networkscited by 22
  4. 2024Real-Time Pill Identification for the Visually Impaired Using Deep Learningcited by 20
  5. 2024Utilizing Deep Learning to Optimize Software Development Processescited by 15
  6. 2023RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inferencecited by 12
  7. 2024Text Sentiment Analysis and Classification Based on Bidirectional Gated Recurrent Units (GRUs) Modelcited by 9
  8. 2024Towards Invariant Time Series Forecasting in Smart Citiescited by 6
  9. 2023Transfer learning-based physics-informed convolutional neural network for simulating flow in porous media with time-varying controlscited by 4
  10. 2024Leveraging Deep Learning and Xception Architecture for High-Accuracy MRI Classification in Alzheimer Diagnosiscited by 4

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Citing papers per year: 2024: 10.

10 papers.

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  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. 2024Enhanced Credit Score Prediction Using Ensemble Deep Learning Modelcited by 2
  9. 2024Innovative Deep Learning Techniques for Obstacle Recognition: A Comparative Study of Modern Detection Algorithmscited by 0
  10. 2024Cutting-Edge Detection of Fatigue in Drivers: A Comparative Study of Object Detection Modelscited by 0