3 papers
cs.IR2025
RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation
Zeyuan Meng, Zixuan Yi, Iadh Ounis
A recent Large language model (LLM)-based recommendation model, called RecRanker, has demonstrated a superior performance in the top-k recommendation task compared to other models.…
cs.IR2025
KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation
Zeyuan Meng, Zixuan Yi, Iadh Ounis
Large Language Models (LLMs) have shown strong potential in recommender systems due to their contextual learning and generalisation capabilities. Existing LLM-based recommendation…
cs.AI2024
A Unified Graph Transformer for Overcoming Isolations in Multi-modal Recommendation
Zixuan Yi, Iadh Ounis
With the rapid development of online multimedia services, especially in e-commerce platforms, there is a pressing need for personalised recommendation systems that can effectively…