Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
Fuente:
arXiv
Saved in:
| Main Authors: | Zhao, Haiyuan, Cai, Guohao, Zhu, Jieming, Dong, Zhenhua, Xu, Jun, Wen, Ji-Rong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
by: Zhao, Haiyuan, et al.
Published: (2022)
by: Zhao, Haiyuan, et al.
Published: (2022)
Effective Knowledge Transfer for Multi-Task Recommendation Models
by: Cai, Guohao, et al.
Published: (2026)
by: Cai, Guohao, et al.
Published: (2026)
A Contextual-Aware Position Encoding for Sequential Recommendation
by: Yuan, Jun, et al.
Published: (2025)
by: Yuan, Jun, et al.
Published: (2025)
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024)
by: Yuan, Jun, et al.
Published: (2024)
FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025)
by: Xiao, Longtao, et al.
Published: (2025)
Multimodal Pretraining and Generation for Recommendation: A Tutorial
by: Zhu, Jieming, et al.
Published: (2024)
by: Zhu, Jieming, et al.
Published: (2024)
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data
by: Huang, Junjie, et al.
Published: (2024)
by: Huang, Junjie, et al.
Published: (2024)
Exploring the Escalation of Source Bias in User, Data, and Recommender System Feedback Loop
by: Zhou, Yuqi, et al.
Published: (2024)
by: Zhou, Yuqi, et al.
Published: (2024)
UNGER: Generative Recommendation with A Unified Code via Semantic and Collaborative Integration
by: Xiao, Longtao, et al.
Published: (2025)
by: Xiao, Longtao, et al.
Published: (2025)
Inference Computation Scaling for Feature Augmentation in Recommendation Systems
by: Liu, Weihao, et al.
Published: (2025)
by: Liu, Weihao, et al.
Published: (2025)
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation
by: Zhu, Jieming, et al.
Published: (2024)
by: Zhu, Jieming, et al.
Published: (2024)
Improving Conversational Recommendation Systems via Counterfactual Data Simulation
by: Wang, Xiaolei, et al.
Published: (2023)
by: Wang, Xiaolei, et al.
Published: (2023)
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
by: Liu, Emily, et al.
Published: (2025)
by: Liu, Emily, et al.
Published: (2025)
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2025)
by: Zhang, Changshuo, et al.
Published: (2025)
FairFS: Addressing Deep Feature Selection Biases for Recommender System
by: Wang, Xianquan, et al.
Published: (2026)
by: Wang, Xianquan, et al.
Published: (2026)
TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems
by: Wang, Xianquan, et al.
Published: (2025)
by: Wang, Xianquan, et al.
Published: (2025)
Personalized Tree-Based Progressive Regression Model for Watch-Time Prediction in Short Video Recommendation
by: Chen, Xiaokai, et al.
Published: (2025)
by: Chen, Xiaokai, et al.
Published: (2025)
CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
by: Ye, Xiaopeng, et al.
Published: (2025)
by: Ye, Xiaopeng, et al.
Published: (2025)
Generative Regression Based Watch Time Prediction for Short-Video Recommendation
by: Ma, Hongxu, et al.
Published: (2024)
by: Ma, Hongxu, et al.
Published: (2024)
Perplexity Trap: PLM-Based Retrievers Overrate Low Perplexity Documents
by: Wang, Haoyu, et al.
Published: (2025)
by: Wang, Haoyu, et al.
Published: (2025)
DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
by: Yang, Yiqing, et al.
Published: (2026)
by: Yang, Yiqing, et al.
Published: (2026)
Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
by: Wang, Ye, et al.
Published: (2024)
by: Wang, Ye, et al.
Published: (2024)
RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
by: Zhang, Haolin, et al.
Published: (2026)
by: Zhang, Haolin, et al.
Published: (2026)
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction
by: Jin, Jinqiu, et al.
Published: (2024)
by: Jin, Jinqiu, et al.
Published: (2024)
SWaT: Statistical Modeling of Video Watch Time through User Behavior Analysis
by: Yang, Shentao, et al.
Published: (2024)
by: Yang, Shentao, et al.
Published: (2024)
Generative Reasoning Recommendation via LLMs
by: Hong, Minjie, et al.
Published: (2025)
by: Hong, Minjie, et al.
Published: (2025)
CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
by: Sun, Jie, et al.
Published: (2024)
by: Sun, Jie, et al.
Published: (2024)
Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation
by: Wang, Yifan, et al.
Published: (2025)
by: Wang, Yifan, et al.
Published: (2025)
Explicit Uncertainty Modeling for Video Watch Time Prediction
by: Wu, Shanshan, et al.
Published: (2025)
by: Wu, Shanshan, et al.
Published: (2025)
Counterfactual Inference for Eliminating Sentiment Bias in Recommender Systems
by: Pan, Le, et al.
Published: (2025)
by: Pan, Le, et al.
Published: (2025)
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
by: Dong, Lulu, et al.
Published: (2024)
by: Dong, Lulu, et al.
Published: (2024)
EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration
by: Hong, Minjie, et al.
Published: (2025)
by: Hong, Minjie, et al.
Published: (2025)
Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
by: Ye, Xiaopeng, et al.
Published: (2025)
by: Ye, Xiaopeng, et al.
Published: (2025)
Benchmarking News Recommendation in the Era of Green AI
by: Liu, Qijiong, et al.
Published: (2024)
by: Liu, Qijiong, et al.
Published: (2024)
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
by: Xu, Chen, et al.
Published: (2023)
by: Xu, Chen, et al.
Published: (2023)
Multi-Granularity Distribution Modeling for Video Watch Time Prediction via Exponential-Gaussian Mixture Network
by: Zhao, Xu, et al.
Published: (2025)
by: Zhao, Xu, et al.
Published: (2025)
RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation
by: Zhou, Sashuai, et al.
Published: (2025)
by: Zhou, Sashuai, et al.
Published: (2025)
Bridging Textual-Collaborative Gap through Semantic Codes for Sequential Recommendation
by: Liu, Enze, et al.
Published: (2025)
by: Liu, Enze, et al.
Published: (2025)
Modeling Domain and Feedback Transitions for Cross-Domain Sequential Recommendation
by: Zhang, Changshuo, et al.
Published: (2024)
by: Zhang, Changshuo, et al.
Published: (2024)
Similar Items
-
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition
by: Zhao, Haiyuan, et al.
Published: (2022) -
Effective Knowledge Transfer for Multi-Task Recommendation Models
by: Cai, Guohao, et al.
Published: (2026) -
A Contextual-Aware Position Encoding for Sequential Recommendation
by: Yuan, Jun, et al.
Published: (2025) -
A Parameter Update Balancing Algorithm for Multi-task Ranking Models in Recommendation Systems
by: Yuan, Jun, et al.
Published: (2024) -
FAIR: Focused Attention Is All You Need for Generative Recommendation
by: Xiao, Longtao, et al.
Published: (2025)