Image de couverture de livre

CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Yan, Cairong, Han, Jinyi, Ju, Jin, Zhang, Yanting, Wang, Zijian, Shao, Xuan
Format:	Preprint
Publié:	2025
Sujets:	Information Retrieval Artificial Intelligence Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

CoActionGraphRec: Sequential Multi-Interest Recommendations Using Co-Action Graphs
par: Sun, Yi, et autres
Publié: (2024)

CoPL: Collaborative Preference Learning for Personalizing LLMs
par: Choi, Youngbin, et autres
Publié: (2025)

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn)
par: Bhattacharya, Moumita, et autres
Publié: (2024)

Contextual Bandit with Herding Effects: Algorithms and Recommendation Applications
par: Xu, Luyue, et autres
Publié: (2024)

DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
par: Du, Kounianhua, et autres
Publié: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
par: Wu, Junda, et autres
Publié: (2024)

CoRAG: Collaborative Retrieval-Augmented Generation
par: Muhamed, Aashiq, et autres
Publié: (2025)

Bridging Conversational and Collaborative Signals for Conversational Recommendation
par: Rabiah, Ahmad Bin, et autres
Publié: (2024)

Learning to Fast Unrank in Collaborative Filtering Recommendation
par: Zhao, Junpeng, et autres
Publié: (2025)

Online and Offline Evaluations of Collaborative Filtering and Content Based Recommender Systems
par: Elahi, Ali, et autres
Publié: (2024)

CoFiRec: Coarse-to-Fine Tokenization for Generative Recommendation
par: Wei, Tianxin, et autres
Publié: (2025)

Large Language Model Distilling Medication Recommendation Model
par: Liu, Qidong, et autres
Publié: (2024)

Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure
par: Zhang, Jingmao, et autres
Publié: (2025)

CoNRec: Context-Discerning Negative Recommendation with LLMs
par: Chen, Xinda, et autres
Publié: (2026)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
par: Liu, Tianqi, et autres
Publié: (2025)

MemRec: Collaborative Memory-Augmented Agentic Recommender System
par: Chen, Weixin, et autres
Publié: (2026)

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation
par: Liang, Mingfu, et autres
Publié: (2025)

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation
par: Huang, Tianhao, et autres
Publié: (2024)

CoHyDE: Iterative Co-Training of LLM Rewriter & Dense Encoder for Tool Retrieval
par: Senthil, Vaishali, et autres
Publié: (2026)

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
par: Li, Shijun, et autres
Publié: (2026)

Sequential Recommendation via Adaptive Robust Attention with Multi-dimensional Embeddings
par: Pang, Linsey, et autres
Publié: (2024)

Prompt Optimization with Logged Bandit Data
par: Kiyohara, Haruka, et autres
Publié: (2025)

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation
par: Luo, Yucong, et autres
Publié: (2024)

Improving One-class Recommendation with Multi-tasking on Various Preference Intensities
par: Shao, Chu-Jen, et autres
Publié: (2024)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
par: Hsu, Hung-Chun, et autres
Publié: (2025)

Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems
par: Wilm, Timo, et autres
Publié: (2025)

Deep Learning Model Acceleration and Optimization Strategies for Real-Time Recommendation Systems
par: Shao, Junli, et autres
Publié: (2025)

ECAT: A Entire space Continual and Adaptive Transfer Learning Framework for Cross-Domain Recommendation
par: Hou, Chaoqun, et autres
Publié: (2024)

Personalized Recommendation Models in Federated Settings: A Survey
par: Zhang, Chunxu, et autres
Publié: (2025)

AdaptEx: A Self-Service Contextual Bandit Platform
par: Black, William, et autres
Publié: (2023)

BEAR: Towards Beam-Search-Aware Optimization for Recommendation with Large Language Models
par: Yang, Weiqin, et autres
Publié: (2026)

GPRec: Bi-level User Modeling for Deep Recommenders
par: Wang, Yejing, et autres
Publié: (2024)

DAIAN: Deep Adaptive Intent-Aware Network for CTR Prediction in Trigger-Induced Recommendation
par: Lv, Zhihao, et autres
Publié: (2026)

CARTS: Collaborative Agents for Recommendation Textual Summarization
par: Chen, Jiao, et autres
Publié: (2025)

Denoised Recommendation Model with Collaborative Signal Decoupling
par: Li, Zefeng, et autres
Publié: (2025)

Navigating the Future of Federated Recommendation Systems with Foundation Models
par: Li, Zhiwei, et autres
Publié: (2024)

Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information
par: Zhang, Xinyu, et autres
Publié: (2024)

Breaking the Top-$K$ Barrier: Advancing Top-$K$ Ranking Metrics Optimization in Recommender Systems
par: Yang, Weiqin, et autres
Publié: (2025)

PSLF: A PID Controller-incorporated Second-order Latent Factor Analysis Model for Recommender System
par: Wang, Jialiang, et autres
Publié: (2024)

Enhancing Recommendation with Denoising Auxiliary Task
par: Liu, Pengsheng, et autres
Publié: (2024)