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Recommendation Systems On Redial

Metrics

Recall@1
Recall@10
Recall@50

Results

Performance results of various models on this benchmark

Paper Title
C2CRS0.0530.2330.407C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System
UniCRS0.0510.2240.428Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
KERL0.0560.2170.426Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems
UCCR-0.21610.4258User-Centric Conversational Recommendation with Multi-Aspect User Modeling
CRFR0.040.2020.399CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs
CR-Walker0.040.1870.376CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation
KGSF0.0390.1830.378Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
KBRD0.030.1630.338Towards Knowledge-Based Recommender Dialog System
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Recommendation Systems On Redial | SOTA | HyperAI