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Conversational Recommendation

Papers

Showing 51–100 of 140 papers

TitleStatusHype
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data AugmentationCode0
Long Short-Term Planning for Conversational Recommendation Systems—0
Towards Multi-Subsession Conversational Recommendation—0
Lending Interaction Wings to Recommender Systems with Conversational Agents—0
Large Language Models as Zero-Shot Conversational RecommendersCode1
Multi-view Hypergraph Contrastive Policy Learning for Conversational RecommendationCode0
TREA: Tree-Structure Reasoning Schema for Conversational RecommendationCode0
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AICode2
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets—0
Vague Preference Policy Learning for Conversational Recommendation—0
Improving Conversational Recommendation Systems via Counterfactual Data SimulationCode1
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language ModelsCode1
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
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement LearningCode1
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
Variational Reasoning over Incomplete Knowledge Graphs for Conversational RecommendationCode1
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
Bundle MCR: Towards Conversational Bundle RecommendationCode1
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
User-Centric Conversational Recommendation with Multi-Aspect User ModelingCode1
Metaphorical User Simulators for Evaluating Task-oriented Dialogue SystemsCode0
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems—0
Conversational Recommendation: A Grand AI Challenge—0
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender SystemsCode2
Conversational Information Seeking—0
Unintended Bias in Language Model-driven Conversational Recommendation—0
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Justification—0
Improving Conversational Recommendation Systems’ Quality with Context-Aware Item Meta-Information—0
Towards Policy-Guided Conversational Recommendation with Dialogue Acts—0
Multiple Choice Questions based Multi-Interest Policy Learning for Conversational RecommendationCode1
Self-supervised clarification question generation for ambiguous multi-turn conversation—0
Improving Conversational Recommendation Systems' Quality with Context-Aware Item Meta InformationCode1
Self-Supervised Bot Play for Conversational Recommendation with Justifications—0
Dual-space Hierarchical Learning for Goal-guided Conversational Recommendation—0
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