3 papers
cs.IR2026
Contrastive Learning for Aspect Representation towards Explainable Recommendation
Emrul Hasan, Chen Ding
In this work, we propose a novel recommendation model, CLARER (Contrastive Learning for Aspect Representation towards Explainable Recommendation) that integrates aspect features le…
cs.IR2024
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Emrul Hasan, Mizanur Rahman, Chen Ding +2
Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services. On online platforms, users have the opportunity to share feedb…
cs.CL2024
TMU at TREC Clinical Trials Track 2023
Aritra Kumar Lahiri, Emrul Hasan, Qinmin Vivian Hu +1
This paper describes Toronto Metropolitan University's participation in the TREC Clinical Trials Track for 2023. As part of the tasks, we utilize advanced natural language processi…