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Conversational Recommendation

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Showing 76–100 of 140 papers

TitleStatusHype
TREA: Tree-Structure Reasoning Schema for Conversational RecommendationCode0
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets—0
Vague Preference Policy Learning for Conversational Recommendation—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation—0
Multi-grained Hypergraph Interest Modeling for Conversational RecommendationCode0
Explicit Knowledge Graph Reasoning for Conversational Recommendation—0
Improving Items and Contexts Understanding with Descriptive Graph for Conversational Recommendation—0
Enhancing User Personalization in Conversational Recommenders—0
Prescriptive Process Monitoring in Intelligent Process Automation with Chatbot OrchestrationCode0
Aligning Recommendation and Conversation via Dual Imitation—0
CR-GIS: Improving Conversational Recommendation via Goal-aware Interest Sequence Modeling—0
INFACT: An Online Human Evaluation Framework for Conversational RecommendationCode0
EGCR: Explanation Generation for Conversational Recommendation—0
INSPIRED2: An Improved Dataset for Sociable Conversational RecommendationCode0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference—0
E-ConvRec: A Large-Scale Conversational Recommendation Dataset for E-Commerce Customer Service—0
Meta Policy Learning for Cold-Start Conversational RecommendationCode0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
Toward Knowledge-Enriched Conversational Recommendation Systems—0
Understanding User Satisfaction with Task-oriented Dialogue Systems—0
Metaphorical User Simulators for Evaluating Task-oriented Dialogue SystemsCode0
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems—0
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