Copertina

ReCast: Recasting Learning Signals for Reinforcement Learning in Generative Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Peiyan, Liu, Hanmo, Tong, Chengxuan, Wu, Yuxia, Guo, Wei, Liu, Yong
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Machine Learning Artificial Intelligence Information Retrieval H.3.3
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Action-Aware Generative Sequence Modeling for Short Video Recommendation
di: Li, Wenhao, et al.
Pubblicazione: (2026)

Disagreement as Signals: Dual-view Calibration for Sequential Recommendation Denoising
di: Li, Sijia, et al.
Pubblicazione: (2026)

The Layout Is the Model: On Action-Item Coupling in Generative Recommendation
di: Wei, Xiaokai, et al.
Pubblicazione: (2025)

MCLMR: A Model-Agnostic Causal Learning Framework for Multi-Behavior Recommendation
di: Zhang, Ranxu, et al.
Pubblicazione: (2026)

Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
di: Luo, Yunze, et al.
Pubblicazione: (2024)

Generating Query Recommendations via LLMs
di: Bacciu, Andrea, et al.
Pubblicazione: (2024)

Hyena Operator for Fast Sequential Recommendation
di: Liu, Jiahao, et al.
Pubblicazione: (2026)

Effective Diversification of Multi-Carousel Book Recommendation
di: Wilten, Daniël, et al.
Pubblicazione: (2025)

Diagnosing LLM-based Rerankers in Cold-Start Recommender Systems: Coverage, Exposure and Practical Mitigations
di: Lemdiasova, Ekaterina, et al.
Pubblicazione: (2026)

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

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

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
di: Zhang, Peiyan, et al.
Pubblicazione: (2024)

TransGNN: Harnessing the Collaborative Power of Transformers and Graph Neural Networks for Recommender Systems
di: Zhang, Peiyan, et al.
Pubblicazione: (2023)

High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
di: Zhang, Peiyan, et al.
Pubblicazione: (2024)

Graph Reasoning for Explainable Cold Start Recommendation
di: Frej, Jibril, et al.
Pubblicazione: (2024)

From Item-Only to Query-Item: Query-Conditioned Generative Search with QGS in Quark
di: Song, Yanglong, et al.
Pubblicazione: (2026)

Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems
di: Feng, Zhijian, et al.
Pubblicazione: (2025)

Understanding Before Recommendation: Semantic Aspect-Aware Review Exploitation via Large Language Models
di: Liu, Fan, et al.
Pubblicazione: (2023)

HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation
di: Deng, Hao, et al.
Pubblicazione: (2025)

Re3val: Reinforced and Reranked Generative Retrieval
di: Song, EuiYul, et al.
Pubblicazione: (2024)

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

I$^3$-MRec: Invariant Learning with Information Bottleneck for Incomplete Modality Recommendation
di: Chen, Huilin, et al.
Pubblicazione: (2025)

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
di: Zhang, Yang, et al.
Pubblicazione: (2024)

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation
di: Iana, Andreea, et al.
Pubblicazione: (2024)

FIM: Frequency-Aware Multi-View Interest Modeling for Local-Life Service Recommendation
di: Wang, Guoquan, et al.
Pubblicazione: (2025)

PUB: An LLM-Enhanced Personality-Driven User Behaviour Simulator for Recommender System Evaluation
di: Ma, Chenglong, et al.
Pubblicazione: (2025)

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking
di: Chen, Haodong, et al.
Pubblicazione: (2026)

Dynamic Superblock Pruning for Fast Learned Sparse Retrieval
di: Carlson, Parker, et al.
Pubblicazione: (2025)

CreAgent: Towards Long-Term Evaluation of Recommender System under Platform-Creator Information Asymmetry
di: Ye, Xiaopeng, et al.
Pubblicazione: (2025)

Explainable Graph-based Search for Lessons-Learned Documents in the Semiconductor Industry
di: Abu-Rasheed, Hasan, et al.
Pubblicazione: (2021)

Modeling Stage-wise Evolution of User Interests for News Recommendation
di: Cheng, Zhiyong, et al.
Pubblicazione: (2026)

Learning to Alleviate Familiarity Bias in Video Recommendation
di: Ren, Zheng, et al.
Pubblicazione: (2026)

Response Quality Assessment for Retrieval-Augmented Generation via Conditional Conformal Factuality
di: Feng, Naihe, et al.
Pubblicazione: (2025)

Beyond the Flat Sequence: Hierarchical and Preference-Aware Generative Recommendations
di: Chen, Zerui, et al.
Pubblicazione: (2026)

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting
di: Bai, Yimeng, et al.
Pubblicazione: (2023)

STEP: Stepwise Curriculum Learning for Context-Knowledge Fusion in Conversational Recommendation
di: Yang, Zhenye, et al.
Pubblicazione: (2025)

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting
di: Bai, Yimeng, et al.
Pubblicazione: (2024)

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning
di: Liu, Hong, et al.
Pubblicazione: (2024)

Cluster-based Graph Collaborative Filtering
di: Liu, Fan, et al.
Pubblicazione: (2024)

Doc2Query++: Topic-Coverage based Document Expansion and its Application to Dense Retrieval via Dual-Index Fusion
di: Kuo, Tzu-Lin, et al.
Pubblicazione: (2025)