Cover Image

A Long-term Value Prediction Framework In Video Ranking

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Huabin, Wang, Xinao, Chu, Huiping, Xu, Keqin, Zhai, Chenhao, Wang, Chenyi, Meng, Kai, Jiang, Yuning
Format:	Preprint
Published:	2026
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uniboost: Global Coordination with Value Alignment for Fair and Efficient Traffic Allocation
by: Fan, Ge, et al.
Published: (2026)

AliBoost: Ecological Boosting Framework in Alibaba Platform
by: Shen, Qijie, et al.
Published: (2025)

Mitigate Position Bias with Coupled Ranking Bias on CTR Prediction
by: Zhao, Yao, et al.
Published: (2024)

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

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

SHORE: A Long-term User Lifetime Value Prediction Model in Digital Games
by: Yuan, Congde
Published: (2025)

Coarse-to-fine Dynamic Uplift Modeling for Real-time Video Recommendation
by: Meng, Chang, et al.
Published: (2024)

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

Unleashing the Potential of Sparse Attention on Long-term Behaviors for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2026)

K-order Ranking Preference Optimization for Large Language Models
by: Cai, Shihao, et al.
Published: (2025)

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction
by: Tang, Jiakai, et al.
Published: (2026)

ChoirRec: Semantic User Grouping via LLMs for Conversion Rate Prediction of Low-Activity Users
by: Zhai, Dakai, et al.
Published: (2025)

Gated Rotary-Enhanced Linear Attention with Rank Modulation for Long-term Sequential Recommendation
by: Hu, Juntao, et al.
Published: (2025)

Enhancing Playback Performance in Video Recommender Systems with an On-Device Gating and Ranking Framework
by: Yang, Yunfei, et al.
Published: (2024)

Item-side Fairness of Large Language Model-based Recommendation System
by: Jiang, Meng, et al.
Published: (2024)

A Simple yet Effective Framework for Active Learning to Rank
by: Wang, Qingzhong, et al.
Published: (2022)

Learned Ranking Function: From Short-term Behavior Predictions to Long-term User Satisfaction
by: Wu, Yi, et al.
Published: (2024)

Simple but Efficient: A Multi-Scenario Nearline Retrieval Framework for Recommendation on Taobao
by: Ma, Yingcai, et al.
Published: (2024)

Generative Pseudo-Labeling for Pre-Ranking with LLMs
by: Bi, Junyu, et al.
Published: (2026)

Beyond Existing Retrievals: Cross-Scenario Incremental Sample Learning Framework
by: Wang, Tao, 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)

From Head to Tail: Asymmetric Knowledge Transfer in Long-tail Recommendation with Generative Semantic IDs
by: Yan, Chenyi, et al.
Published: (2026)

KuaiSearch: A Large-Scale E-Commerce Search Dataset for Recall, Ranking, and Relevance
by: Li, Yupeng, et al.
Published: (2026)

Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction
by: Lai, Weijiang, et al.
Published: (2025)

Variational Bayesian Personalized Ranking
by: Liu, Bin, et al.
Published: (2025)

LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction
by: Song, Xin, et al.
Published: (2025)

SID-Coord: Coordinating Semantic IDs for ID-based Ranking in Short-Video Search
by: Li, Guowen, et al.
Published: (2026)

OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion
by: Guo, Xian, et al.
Published: (2025)

A Universal Framework for Compressing Embeddings in CTR Prediction
by: Wang, Kefan, et al.
Published: (2025)

Adaptive User Interest Modeling via Conditioned Denoising Diffusion For Click-Through Rate Prediction
by: Zhao, Qihang, et al.
Published: (2025)

RankSteer: Activation Steering for Pointwise LLM Ranking
by: Wang, Yumeng, et al.
Published: (2026)

Parallel Latent Reasoning for Sequential Recommendation
by: Tang, Jiakai, et al.
Published: (2026)

Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
by: Zheng, Kai, et al.
Published: (2024)

Ranking with Long-Term Constraints
by: Brantley, Kianté, et al.
Published: (2023)

RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
by: Yan, YaChen, et al.
Published: (2024)

ALPBench: A Benchmark for Attribution-level Long-term Personal Behavior Understanding
by: Ren, Lu, et al.
Published: (2026)

RLPO: Residual Listwise Preference Optimization for Long-Context Review Ranking
by: Jiang, Hao, et al.
Published: (2026)

RankMixer: Scaling Up Ranking Models in Industrial Recommenders
by: Zhu, Jie, et al.
Published: (2025)

Understanding Long Videos via LLM-Powered Entity Relation Graphs
by: Chu, Meng, et al.
Published: (2025)

Long-Term Value of Exploration: Measurements, Findings and Algorithms
by: Su, Yi, et al.
Published: (2023)