Copertina

SOLAR: SVD-Optimized Lifelong Attention for Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Chenghao, Feng, Chao, Pu, Yuanhao, Yang, Xunyong, Yu, Wenhui, Li, Xiang, Liu, Yongqi, Hu, Lantao, Zhan, Kaiqiao, Li, Han, Gai, Kun
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Retrieval Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

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

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

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

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
di: Jia, Pengyue, et al.
Pubblicazione: (2026)

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

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

Creator-Side Recommender System: Challenges, Designs, and Applications
di: Chen, Xiaoshuang, et al.
Pubblicazione: (2025)

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

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

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

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

RPAF: A Reinforcement Prediction-Allocation Framework for Cache Allocation in Large-Scale Recommender Systems
di: Su, Shuo, et al.
Pubblicazione: (2024)

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

S$^2$GR: Stepwise Semantic-Guided Reasoning in Latent Space for Generative Recommendation
di: Guo, Zihao, et al.
Pubblicazione: (2026)

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

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

MISS: Multi-Modal Tree Indexing and Searching with Lifelong Sequential Behavior for Retrieval Recommendation
di: Guo, Chengcheng, et al.
Pubblicazione: (2025)

xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems
di: Cao, Yang, et al.
Pubblicazione: (2025)

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

Multi-behavior Recommendation with SVD Graph Neural Networks
di: Fu, Shengxi, et al.
Pubblicazione: (2023)

DUET: Dual Model Co-Training for Entire Space CTR Prediction
di: Xiao, Yutian, et al.
Pubblicazione: (2025)

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

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
di: Lin, Xinyu, et al.
Pubblicazione: (2023)

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

UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution
di: Zhang, Gengrui, et al.
Pubblicazione: (2024)

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

Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
di: Li, Yisha, et al.
Pubblicazione: (2025)

Reinforced Preference Optimization for Reasoning-Augmented Recommendations
di: Gao, Jingtong, et al.
Pubblicazione: (2026)

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

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

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

CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems
di: Sun, Jie, et al.
Pubblicazione: (2024)

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

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

PushGen: Push Notifications Generation with LLM
di: Bie, Shifu, et al.
Pubblicazione: (2025)