Arham Muslim

SIMT: A Semantic Interest Modeling Toolkit

2021

In this paper, we focus on semantic interest modeling and present SIMT as a toolkit that harnesses the semantic information to effectively generate user interest models and compute their similarities. SIMT follows a mixed-method approach …

Explaining User Models with Different Levels of Detail for Transparent Recommendation: A User Study

2022

In this paper, we shed light on explaining user models for transparent recommendation while considering user personal characteristics. To this end, we developed a transparent Recommendation and Interest Modeling Application (RIMA) that provides interactive, layered …