Copertina

Bridging Conversational and Collaborative Signals for Conversational Recommendation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rabiah, Ahmad Bin, Sadeq, Nafis, McAuley, Julian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

GSPRec: Temporal-Aware Graph Spectral Filtering for Recommendation
di: Rabiah, Ahmad Bin, et al.
Pubblicazione: (2025)

Forecasting Live Chat Intent from Browsing History
di: Yoon, Se-eun, et al.
Pubblicazione: (2024)

Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
di: Yoon, Se-eun, et al.
Pubblicazione: (2024)

Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
di: He, Zhankui, et al.
Pubblicazione: (2024)

RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface
di: Zhang, Zeyuan, et al.
Pubblicazione: (2024)

Calibration-Disentangled Learning and Relevance-Prioritized Reranking for Calibrated Sequential Recommendation
di: Jeon, Hyunsik, et al.
Pubblicazione: (2024)

Reddit2Deezer: A Scalable Dataset for Real-World Grounded Conversational Music Recommendation
di: Kim, Haven, et al.
Pubblicazione: (2026)

Transferable Sequential Recommendation via Vector Quantized Meta Learning
di: Yue, Zhenrui, et al.
Pubblicazione: (2024)

CoRAL: Collaborative Retrieval-Augmented Large Language Models Improve Long-tail Recommendation
di: Wu, Junda, et al.
Pubblicazione: (2024)

FINEST: Stabilizing Recommendations by Rank-Preserving Fine-Tuning
di: Oh, Sejoon, et al.
Pubblicazione: (2024)

Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
di: Hsu, Hung-Chun, et al.
Pubblicazione: (2025)

Disentangling Likes and Dislikes in Personalized Generative Explainable Recommendation
di: Shimizu, Ryotaro, et al.
Pubblicazione: (2024)

Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
di: Deldjoo, Yashar, et al.
Pubblicazione: (2025)

Evaluation on Entity Matching in Recommender Systems
di: Huang, Zihan, et al.
Pubblicazione: (2026)

Pctx: Tokenizing Personalized Context for Generative Recommendation
di: Zhong, Qiyong, et al.
Pubblicazione: (2025)

Dual Conditional Diffusion Models for Sequential Recommendation
di: Huang, Hongtao, et al.
Pubblicazione: (2024)

Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
di: Sayana, Krishna, et al.
Pubblicazione: (2024)

ReGeS: Reciprocal Retrieval-Generation Synergy for Conversational Recommender Systems
di: Yang, Dayu, et al.
Pubblicazione: (2025)

Bridging User Dynamics: Transforming Sequential Recommendations with Schrödinger Bridge and Diffusion Models
di: Xie, Wenjia, et al.
Pubblicazione: (2024)

Learning to Fast Unrank in Collaborative Filtering Recommendation
di: Zhao, Junpeng, et al.
Pubblicazione: (2025)

Beyond Predefined Schemas: TRACE-KG for Context-Enriched Knowledge Graphs from Complex Documents
di: Abolhasani, Mohammad Sadeq, et al.
Pubblicazione: (2026)

Retrieval Augmented Conversational Recommendation with Reinforcement Learning
di: Yue, Zhenrui, et al.
Pubblicazione: (2026)

Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation
di: Wang, Leyao, et al.
Pubblicazione: (2025)

CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation
di: Yan, Cairong, et al.
Pubblicazione: (2025)

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?
di: Kim, Sein, et al.
Pubblicazione: (2025)

RRCM: Ranking-Driven Retrieval over Collaborative and Meta Memories for LLM Recommendation
di: Li, Shijun, et al.
Pubblicazione: (2026)

Token-Efficient Item Representation via Images for LLM Recommender Systems
di: Kim, Kibum, et al.
Pubblicazione: (2025)

CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
di: Liu, Tianqi, et al.
Pubblicazione: (2025)

No One Left Behind: How to Exploit the Incomplete and Skewed Multi-Label Data for Conversion Rate Prediction
di: Jia, Qinglin, et al.
Pubblicazione: (2025)

A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys)
di: Deldjoo, Yashar, et al.
Pubblicazione: (2024)

ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
di: Hou, Yupeng, et al.
Pubblicazione: (2025)

Joint Identifiability of Cross-Domain Recommendation via Hierarchical Subspace Disentanglement
di: Du, Jing, et al.
Pubblicazione: (2024)

Multi-Behavior Generative Recommendation
di: Liu, Zihan, et al.
Pubblicazione: (2024)

LLMDistill4Ads: Using Cross-Encoders to Distill from LLM Signals for Advertiser Keyphrase Recommendations at eBay
di: Dey, Soumik, et al.
Pubblicazione: (2025)

Graph Foundation Models for Recommendation: A Comprehensive Survey
di: Wu, Bin, et al.
Pubblicazione: (2025)

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations
di: Meng, Chuan, et al.
Pubblicazione: (2025)

Bridging RDF Knowledge Graphs with Graph Neural Networks for Semantically-Rich Recommender Systems
di: Färber, Michael, et al.
Pubblicazione: (2025)

On Overcoming Miscalibrated Conversational Priors in LLM-based Chatbots
di: Herlihy, Christine, et al.
Pubblicazione: (2024)

Towards Personalized Bangla Book Recommendation: A Large-Scale Multi-Entity Book Graph Dataset
di: Ahmed, Rahin Arefin, et al.
Pubblicazione: (2026)

A Geometric Approach to Personalized Recommendation with Set-Theoretic Constraints Using Box Embeddings
di: Dasgupta, Shib, et al.
Pubblicazione: (2025)