Cover Image

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Meng, Chang, Zhai, Chenhao, Wang, Xueliang, Liu, Shuchang, Feng, Xiaoqiang, Hu, Lantao, Li, Xiu, Li, Han, Gai, Kun
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Heterogeneous Multi-treatment Uplift Modeling for Trade-off Optimization in Short-Video Recommendation
by: Zhai, Chenhao, et al.
Published: (2025)

Future Impact Decomposition in Request-level Recommendations
by: Wang, Xiaobei, et al.
Published: (2024)

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation
by: Yu, Qing, et al.
Published: (2025)

Fading to Grow: Growing Preference Ratios via Preference Fading Discrete Diffusion for Recommendation
by: Hu, Guoqing, et al.
Published: (2025)

An End-to-End Multi-objective Ensemble Ranking Framework for Video Recommendation
by: He, Tiantian, et al.
Published: (2025)

Denoising Neural Reranker for Recommender Systems
by: Mao, Wenyu, et al.
Published: (2025)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
by: Liu, Ziru, et al.
Published: (2024)

Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
by: Zhai, Chenhao, et al.
Published: (2025)

Distinguished Quantized Guidance for Diffusion-based Sequence Recommendation
by: Mao, Wenyu, et al.
Published: (2025)

Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation
by: Li, Na, et al.
Published: (2026)

Explicit Uncertainty Modeling for Video Watch Time Prediction
by: Wu, Shanshan, et al.
Published: (2025)

GoalRank: Group-Relative Optimization for a Large Ranking Model
by: Zhang, Kaike, et al.
Published: (2025)

Modeling User Fatigue for Sequential Recommendation
by: Li, Nian, et al.
Published: (2024)

KLAN: Kuaishou Landing-page Adaptive Navigator
by: Li, Fan, et al.
Published: (2025)

Value Function Decomposition in Markov Recommendation Process
by: Wang, Xiaobei, et al.
Published: (2025)

Comprehensive List Generation for Multi-Generator Reranking
by: Yang, Hailan, et al.
Published: (2025)

Two-Stage Constrained Actor-Critic for Short Video Recommendation
by: Cai, Qingpeng, et al.
Published: (2023)

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples
by: Xu, Xiaoxiao, et al.
Published: (2025)

A Model-based Multi-Agent Personalized Short-Video Recommender System
by: Zhou, Peilun, et al.
Published: (2024)

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems
by: Xue, Zhenghai, et al.
Published: (2023)

From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework
by: Zhang, Zijian, et al.
Published: (2024)

Uplift Modeling for Target User Attacks on Recommender Systems
by: Wang, Wenjie, et al.
Published: (2024)

RoTE: Coarse-to-Fine Multi-Level Rotary Time Embedding for Sequential Recommendation
by: Zhang, Haolin, et al.
Published: (2026)

FlashEvaluator: Expanding Search Space with Parallel Evaluation
by: Feng, Chao, et al.
Published: (2026)

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation
by: Qu, Changle, et al.
Published: (2025)

Generative Recommender with End-to-End Learnable Item Tokenization
by: Liu, Enze, et al.
Published: (2024)

RecGPT: Generative Personalized Prompts for Sequential Recommendation via ChatGPT Training Paradigm
by: Zhang, Yabin, et al.
Published: (2024)

SOLAR: SVD-Optimized Lifelong Attention for Recommendation
by: Zhang, Chenghao, et al.
Published: (2026)

DADF: A Distribution-Aware Debiasing Framework for Watch-Time Regression in Recommender Systems
by: Yang, Yiqing, et al.
Published: (2026)

IFA: Interaction Fidelity Attention for Entire Lifelong Behaviour Sequence Modeling
by: Yu, Wenhui, et al.
Published: (2024)

Modeling User Retention through Generative Flow Networks
by: Liu, Ziru, et al.
Published: (2024)

Towards Robust Recommendation via Decision Boundary-aware Graph Contrastive Learning
by: Tang, Jiakai, et al.
Published: (2024)

Robust Uplift Modeling with Large-Scale Contexts for Real-time Marketing
by: Sun, Zexu, et al.
Published: (2025)

Efficient Model-Agnostic Continual Learning for Next POI Recommendation
by: Wang, Chenhao, et al.
Published: (2025)

PROMISE: Process Reward Models Unlock Test-Time Scaling Laws in Generative Recommendations
by: Guo, Chengcheng, et al.
Published: (2026)

Unleashing the Native Recommendation Potential: LLM-Based Generative Recommendation via Structured Term Identifiers
by: Zhang, Zhiyang, et al.
Published: (2026)

GEMs: Breaking the Long-Sequence Barrier in Generative Recommendation with a Multi-Stream Decoder
by: Zhou, Yu, et al.
Published: (2026)

BBQRec: Behavior-Bind Quantization for Multi-Modal Sequential Recommendation
by: Li, Kaiyuan, et al.
Published: (2025)

A Long-term Value Prediction Framework In Video Ranking
by: Chen, Huabin, et al.
Published: (2026)