Recommendation Systems On Redial

Métriques

Recall@1

Recall@10

Recall@50

Résultats

Résultats de performance de divers modèles sur ce benchmark

				Paper Title
C2CRS	0.053	0.233	0.407	C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
UniCRS	0.051	0.224	0.428	Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
KERL	0.056	0.217	0.426	Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
UCCR	-	0.2161	0.4258	User-Centric Conversational Recommendation with Multi-Aspect User Modeling
CRFR	0.04	0.202	0.399	CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs
CR-Walker	0.04	0.187	0.376	CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
KGSF	0.039	0.183	0.378	Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
KBRD	0.03	0.163	0.338	Towards Knowledge-Based Recommender Dialog System

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Recommendation Systems On Redial | SOTA | HyperAI