Scenario-Wise Rec: A Multi-Scenario Recommendation Benchmark
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Xiaopeng, Gao, Jingtong, Jia, Pengyue, Zhao, Xiangyu, Wang, Yichao, Wang, Wanyu, Wang, Yejing, Wang, Yuhao, Guo, Huifeng, Tang, Ruiming |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)
by: Zhao, Xiangyu, et al.
Published: (2025)
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024)
by: Jia, Pengyue, et al.
Published: (2024)
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)
by: Gao, Jingtong, et al.
Published: (2025)
LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations
by: Gao, Jingtong, et al.
Published: (2024)
by: Gao, Jingtong, et al.
Published: (2024)
HAMUR: Hyper Adapter for Multi-Domain Recommendation
by: Li, Xiaopeng, et al.
Published: (2023)
by: Li, Xiaopeng, et al.
Published: (2023)
LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations
by: Zhang, Wenlin, et al.
Published: (2024)
by: Zhang, Wenlin, et al.
Published: (2024)
Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery
by: Li, Xiaopeng, et al.
Published: (2026)
by: Li, Xiaopeng, et al.
Published: (2026)
Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing
by: Zhang, Wenlin, et al.
Published: (2026)
by: Zhang, Wenlin, et al.
Published: (2026)
SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval
by: Li, Xiaopeng, et al.
Published: (2024)
by: Li, Xiaopeng, et al.
Published: (2024)
Prompt Tuning as User Inherent Profile Inference Machine
by: Lu, Yusheng, et al.
Published: (2024)
by: Lu, Yusheng, et al.
Published: (2024)
LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems
by: Liu, Langming, et al.
Published: (2024)
by: Liu, Langming, et al.
Published: (2024)
Deep Research: A Survey of Autonomous Research Agents
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
A Survey of Personalization: From RAG to Agent
by: Li, Xiaopeng, et al.
Published: (2025)
by: Li, Xiaopeng, et al.
Published: (2025)
Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning
by: Zhang, Wenlin, et al.
Published: (2025)
by: Zhang, Wenlin, et al.
Published: (2025)
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration
by: Zhang, Yingyi, et al.
Published: (2025)
by: Zhang, Yingyi, et al.
Published: (2025)
LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
A Unified Framework for Multi-Domain CTR Prediction via Large Language Models
by: Fu, Zichuan, et al.
Published: (2023)
by: Fu, Zichuan, et al.
Published: (2023)
Pre-train, Align, and Disentangle: Empowering Sequential Recommendation with Large Language Models
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation
by: Zhu, Jiachen, et al.
Published: (2024)
by: Zhu, Jiachen, et al.
Published: (2024)
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
Multimodal Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2023)
by: Liu, Qidong, et al.
Published: (2023)
Large Language Model Enhanced Recommender Systems: A Survey
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
by: Zhang, Yingyi, et al.
Published: (2025)
by: Zhang, Yingyi, et al.
Published: (2025)
LLMEmb: Large Language Model Can Be a Good Embedding Generator for Sequential Recommendation
by: Liu, Qidong, et al.
Published: (2024)
by: Liu, Qidong, et al.
Published: (2024)
Conditional Memory Enhanced Item Representation for Generative Recommendation
by: Liu, Ziwei, et al.
Published: (2026)
by: Liu, Ziwei, et al.
Published: (2026)
The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)
by: Liu, Ziwei, et al.
Published: (2025)
GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)
by: Zhang, Sheng, et al.
Published: (2024)
RAGR: Review-Augmented Generative Recommendation
by: Zhang, Yingyi, et al.
Published: (2026)
by: Zhang, Yingyi, et al.
Published: (2026)
Reinforced Preference Optimization for Reasoning-Augmented Recommendations
by: Gao, Jingtong, et al.
Published: (2026)
by: Gao, Jingtong, et al.
Published: (2026)
FindRec: Stein-Guided Entropic Flow for Multi-Modal Sequential Recommendation
by: Wang, Maolin, et al.
Published: (2025)
by: Wang, Maolin, et al.
Published: (2025)
From Local Indices to Global Identifiers: Generative Reranking for Recommender Systems via Global Action Space
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
by: Jia, Pengyue, et al.
Published: (2026)
by: Jia, Pengyue, et al.
Published: (2026)
DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems
by: Zhang, Sheng, et al.
Published: (2024)
by: Zhang, Sheng, et al.
Published: (2024)
To Search or Not to Search: Aligning the Decision Boundary of Deep Search Agents via Causal Intervention
by: Zhang, Wenlin, et al.
Published: (2026)
by: Zhang, Wenlin, et al.
Published: (2026)
Empowering Denoising Sequential Recommendation with Large Language Model Embeddings
by: Wu, Tongzhou, et al.
Published: (2025)
by: Wu, Tongzhou, et al.
Published: (2025)
From Principles to Applications: A Comprehensive Survey of Discrete Tokenizers in Generation, Comprehension, Recommendation, and Information Retrieval
by: Jia, Jian, et al.
Published: (2025)
by: Jia, Jian, et al.
Published: (2025)
Measure Domain's Gap: A Similar Domain Selection Principle for Multi-Domain Recommendation
by: Wen, Yi, et al.
Published: (2025)
by: Wen, Yi, et al.
Published: (2025)
Democratic Recommendation with User and Item Representatives Produced by Graph Condensation
by: Liang, Jiahao, et al.
Published: (2025)
by: Liang, Jiahao, et al.
Published: (2025)
Similar Items
-
ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024) -
LLM4MSR: An LLM-Enhanced Paradigm for Multi-Scenario Recommendation
by: Wang, Yuhao, et al.
Published: (2024) -
Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025) -
SELF: Surrogate-light Feature Selection with Large Language Models in Deep Recommender Systems
by: Jia, Pengyue, et al.
Published: (2024) -
SampleLLM: Optimizing Tabular Data Synthesis in Recommendations
by: Gao, Jingtong, et al.
Published: (2025)