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Conversational Recommendation

Papers

Showing 125 of 140 papers

TitleStatusHype
MACRec: a Multi-Agent Collaboration Framework for RecommendationCode2
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender SystemsCode2
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender SystemsCode2
RevCore: Review-augmented Conversational RecommendationCode1
Towards Conversational Recommendation over Multi-Type DialogsCode1
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement LearningCode1
Empowering Retrieval-based Conversational Recommendation with Contrasting User PreferencesCode1
NUANCED: Natural Utterance Annotation for Nuanced Conversation with Estimated DistributionsCode1
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational RecommendationCode1
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language ModelsCode1
Improving Conversational Recommendation Systems via Counterfactual Data SimulationCode1
Seamlessly Unifying Attributes and Items: Conversational Recommendation for Cold-Start UsersCode1
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational RecommendationCode1
DuRecDial 2.0: A Bilingual Parallel Corpus for Conversational RecommendationCode1
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
Large Language Models as Zero-Shot Conversational RecommendersCode1
MConv: An Environment for Multimodal Conversational Search across Multiple DomainsCode1
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational RecommendationCode1
Bundle MCR: Towards Conversational Bundle RecommendationCode1
RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User InterfaceCode1
Chain-of-Choice Hierarchical Policy Learning for Conversational RecommendationCode1
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender SystemsCode1
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta InformationCode1
Towards Topic-Guided Conversational Recommender SystemCode1
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