Mend the Measurement Gap: Latent User Preference Modeling for Short-Form Video Recommendation
cs.IR, cs.LG
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Deep Variational Information Bottleneck
- Latent User Intent Modeling for Sequential Recommenders
- Auto-Encoding Variational Bayes
- Variational Autoencoders for Collaborative Filtering
- AlignPxtr: Aligning Predicted Behavior Distributions for Bias-Free Video Recommendations
- Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
- Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
- Learning Disentangled Representations for Recommendation
- CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
- Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment
- Deconfounding Duration Bias in Watch-time Prediction for Video Recommendation
- Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework
- Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
- Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation
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