Cover Image

CTR Prediction on Alibaba's Taobao Advertising Dataset Using Traditional and Deep Learning Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Hongyu, Wen, Chunxi, Zhang, Jiyin, Shen, Nanfei, Zhang, Shijiao, Han, Xiyan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights
by: Sheng, Xiang-Rong, et al.
Published: (2024)

Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation
by: Xiao, Zhibo, et al.
Published: (2024)

Feature Staleness Aware Incremental Learning for CTR Prediction
by: Wang, Zhikai, et al.
Published: (2025)

CTR-Driven Advertising Image Generation with Multimodal Large Language Models
by: Chen, Xingye, et al.
Published: (2025)

MATT-CTR: Unleashing a Model-Agnostic Test-Time Paradigm for CTR Prediction with Confidence-Guided Inference Paths
by: Zhang, Moyu, et al.
Published: (2025)

A Collaborative Ensemble Framework for CTR Prediction
by: Liu, Xiaolong, et al.
Published: (2024)

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction
by: Yue, Yun, et al.
Published: (2021)

KARMA: Knowledge-Action Regularized Multimodal Alignment for Personalized Search at Taobao
by: Sun, Zhi, et al.
Published: (2026)

Alibaba International E-commerce Product Search Competition DILAB Team Technical Report
by: Lee, Hyewon, et al.
Published: (2025)

IDProxy: Cold-Start CTR Prediction for Ads and Recommendation at Xiaohongshu with Multimodal LLMs
by: Zhang, Yubin, et al.
Published: (2026)

Polyhedral Conic Classifier for CTR Prediction
by: Turkmen, Beyza, et al.
Published: (2024)

Lightweight Auto-bidding based on Traffic Prediction in Live Advertising
by: Yang, Bo, et al.
Published: (2025)

Rate-Optimal Regret for the Safe Learning-based Control of the Constrained Linear Quadratic Regulator
by: Hutchinson, Spencer, et al.
Published: (2026)

Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization
by: Zhu, Zirui, et al.
Published: (2024)

Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
by: Zhou, Chang, et al.
Published: (2024)

Balancing Efficiency and Effectiveness: An LLM-Infused Approach for Optimized CTR Prediction
by: Zhang, Guoxiao, et al.
Published: (2024)

Learning Guarantee of Reward Modeling Using Deep Neural Networks
by: Luo, Yuanhang, et al.
Published: (2025)

Cross-Dataset Generalization in Deep Learning
by: Zhang, Xuyu, et al.
Published: (2024)

Disentangled Interest Network for Out-of-Distribution CTR Prediction
by: Zheng, Yu, et al.
Published: (2025)

CADET: Context-Conditioned Ads CTR Prediction With a Decoder-Only Transformer
by: Pardoe, David, et al.
Published: (2026)

Enhancing CTR Prediction in Recommendation Domain with Search Query Representation
by: Wang, Yuening, et al.
Published: (2024)

Improved Online Learning Algorithms for CTR Prediction in Ad Auctions
by: Feng, Zhe, et al.
Published: (2024)

Stochastic Gradient Descent with Strategic Querying
by: Jiang, Nanfei, et al.
Published: (2025)

From Scaling to Structured Expressivity: Rethinking Transformers for CTR Prediction
by: Yan, Bencheng, et al.
Published: (2025)

Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction
by: Shi, Yunxiao, et al.
Published: (2024)

Reinforcement Learning for Compositional Generalization with Outcome-Level Optimization
by: Fu, Xiyan, et al.
Published: (2026)

Benchmarking Traditional Machine Learning and Deep Learning Models for Fault Detection in Power Transformers
by: Saravanan, Bhuvan, et al.
Published: (2025)

From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language Models
by: Wen, Xumeng, et al.
Published: (2023)

ALF: Advertiser Large Foundation Model for Multi-Modal Advertiser Understanding
by: Rajagopalan, Santosh, et al.
Published: (2025)

Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models
by: Graser, Anita
Published: (2025)

Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
by: Yang, Shuai, et al.
Published: (2024)

A Closer Look at Deep Learning Methods on Tabular Datasets
by: Ye, Han-Jia, et al.
Published: (2024)

Enhanced Credit Score Prediction Using Ensemble Deep Learning Model
by: Xing, Qianwen, et al.
Published: (2024)

Rethinking Traffic Flow Forecasting: From Transition to Generatation
by: Shijiao, Li, et al.
Published: (2025)

Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape
by: Oldenburg, Fynn, et al.
Published: (2023)

Complementary Fusion of Deep Network and Tree Model for ETA Prediction
by: Huang, YuRui, et al.
Published: (2024)

A Knowledge Graph and Deep Learning-Based Semantic Recommendation Database System for Advertisement Retrieval and Personalization
by: Wang, Tangtang, et al.
Published: (2025)

Practical Physical Layer Authentication for Mobile Scenarios Using a Synthetic Dataset Enhanced Deep Learning Approach
by: Guo, Yijia, et al.
Published: (2025)

An Advanced Two-Stage Model with High Sensitivity and Generalizability for Prediction of Hip Fracture Risk Using Multiple Datasets
by: Sun, Shuo, et al.
Published: (2025)

Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)