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Conversational Recommendation
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Expectation Confirmation Preference Optimization for Multi-Turn Conversational Recommendation Agent
Conversational Recommendation System using NLP and Sentiment Analysis
Minimally Supervised Hierarchical Domain Intent Learning for CRS
Search-Based Interaction For Conversation Recommendation via Generative Reward Model Based Simulated User
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?
Beyond Whole Dialogue Modeling: Contextual Disentanglement for Conversational Recommendation
HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models
Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models
LaViC: Adapting Large Vision-Language Models to Visually-Aware Conversational Recommendation
MemInsight: Autonomous Memory Augmentation for LLM Agents
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
REGEN: A Dataset and Benchmarks with Natural Language Critiques and Narratives
Harmonizing Large Language Models with Collaborative Behavioral Signals for Conversational Recommendation
Graph Retrieval-Augmented LLM for Conversational Recommendation Systems
Federated Conversational Recommender System
TALKPLAY: Multimodal Music Recommendation with Large Language Models
Collaborative Retrieval for Large Language Model-based Conversational Recommender Systems
STAMPsy: Towards SpatioTemporal-Aware Mixed-Type Dialogues for Psychological Counseling
Bridging Conversational and Collaborative Signals for Conversational Recommendation
Knowledge-Enhanced Conversational Recommendation via Transformer-based Sequential Modelling
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation
Unveiling User Preferences: A Knowledge Graph and LLM-Driven Approach for Conversational Recommendation
Beyond Retrieval: Generating Narratives in Conversational Recommender Systems
SAPIENT: Mastering Multi-turn Conversational Recommendation with Strategic Planning and Monte Carlo Tree Search
Self-Updatable Large Language Models with Parameter Integration
Conversational Dueling Bandits in Generalized Linear Models
All Roads Lead to Rome: Unveiling the Trajectory of Recommender Systems Across the LLM Era
Item-Language Model for Conversational Recommendation
MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations
Imagery as Inquiry: Exploring A Multimodal Dataset for Conversational Recommendation
Identifying Breakdowns in Conversational Recommender Systems using User Simulation
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
A LLM-based Controllable, Scalable, Human-Involved User Simulator Framework for Conversational Recommender Systems
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation
Behavior Alignment: A New Perspective of Evaluating LLM-based Conversational Recommender Systems
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.