A Review of Explainable Recommender Systems Utilizing Knowledge Graphs and Reinforcement Learning

N Tiwary, SAM Noah, F Fauzi, TS Yee - IEEE Access, 2024 - ieeexplore.ieee.org
This review paper addresses the research question of the significance of explainability in AI
and the role of integrating KG and RL to enhance Explainable Recommender Systems …

Exploring aspect-based sentiment analysis: an in-depth review of current methods and prospects for advancement

IA Kandhro, F Ali, M Uddin, A Kehar… - … and Information Systems, 2024 - Springer
Aspect-based sentiment analysis (ABSA) is a natural language processing technique that
seeks to recognize and extract the sentiment connected to various qualities or aspects of a …

An experimental study on the performance of collaborative filtering based on user reviews for large-scale datasets

ALG Sumaia, SAM Noah, M Mohammed - PeerJ Computer Science, 2023 - peerj.com
Collaborative filtering (CF) approaches generate user recommendations based on user
similarities. These similarities are calculated based on the overall (explicit) user ratings …

A multi-view representation technique based on principal component analysis for enhanced short text clustering

MH Ahmed, S Tiun, N Omar, NS Sani - PloS one, 2024 - journals.plos.org
Clustering texts together is an essential task in data mining and information retrieval, whose
aim is to group unlabeled texts into meaningful clusters that facilitate extracting and …

A Trusted User Model for Collaborative Multi-Criteria Recommendation using User Review Elements

SM Al-Ghuribi, SA Mohd Noah, SA Al Ameri… - Proceedings of the …, 2023 - dl.acm.org
Recommender systems (RSs) are designed to assist users in discovering relevant items that
match their needs based on their preferences. RSs have been used across several …