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Conversational Recommendation

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Showing 51–100 of 140 papers

TitleStatusHype
Conversational Dueling Bandits in Generalized Linear ModelsCode0
Concept -- An Evaluation Protocol on Conversational Recommender Systems with System-centric and User-centric FactorsCode0
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data AugmentationCode0
Towards Retrieval-based Conversational RecommendationCode0
Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational RecommendationCode0
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree SearchCode0
TREA: Tree-Structure Reasoning Schema for Conversational RecommendationCode0
A Bayesian Approach to Conversational Recommendation Systems—0
Minimalist and High-performance Conversational Recommendation with Uncertainty Estimation for User Preference—0
Minimally Supervised Hierarchical Domain Intent Learning for CRS—0
MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
Multi-Task End-to-End Training Improves Conversational Recommendation—0
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation—0
On Estimating the Training Cost of Conversational Recommendation Systems—0
REGEN: A Dataset and Benchmarks with Natural Language Critiques and Narratives—0
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation—0
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User—0
Self-Supervised Bot Play for Conversational Recommendation with Justifications—0
Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Justification—0
Self-supervised clarification question generation for ambiguous multi-turn conversation—0
Self-Updatable Large Language Models with Parameter Integration—0
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling—0
TALKPLAY: Multimodal Music Recommendation with Large Language Models—0
Toward Knowledge-Enriched Conversational Recommendation Systems—0
Towards Multi-Subsession Conversational Recommendation—0
Towards Policy-Guided Conversational Recommendation with Dialogue Acts—0
Understanding User Satisfaction with Task-oriented Dialogue Systems—0
U-NEED: A Fine-grained Dataset for User Needs-Centric E-commerce Conversational Recommendation—0
Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning—0
Unintended Bias in Language Model-driven Conversational Recommendation—0
User Memory Reasoning for Conversational Recommendation—0
What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems—0
MemInsight: Autonomous Memory Augmentation for LLM Agents—0
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation—0
Advances and Challenges in Conversational Recommender Systems: A Survey—0
Aligning Recommendation and Conversation via Dual Imitation—0
A Literature Review on Simulation in Conversational Recommender Systems—0
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era—0
A Multi-Agent Conversational Recommender System—0
A Survey of Document Grounded Dialogue Systems (DGDS)—0
A Survey on Conversational Recommender Systems—0
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation Datasets—0
BARCOR: Towards A Unified Framework for Conversational Recommendation—0
BARCOR: Towards A Unified Framework for Conversational Recommendation Systems—0
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation—0
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems—0
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation—0
BI-REC: Guided Data Analysis for Conversational Business Intelligence—0
Bridging Conversational and Collaborative Signals for Conversational Recommendation—0
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