5 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Multicriteria Recommendation System by Leveraging Predefined, Implicit, and Undefined Criteria
Emrul Hasan, Chen Ding
Data sparsity, a long-standing problem in the recommendation system, occurs when the user-item utility matrix is sparse. For years, many approaches have been experimented with, inc…
Multi-criteria Rating and Review based Recommendation Model
Emrul Hasan, Chen Ding, Alfredo Cuzzocrea
These days, due to the advancement of information technology, recommendation system has become one of the key tools for e-commerce business. E-commerce platforms allow users to pro…
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…
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…