34 citations · 87 across the 9 of their papers we have counts for
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cs.IR2023
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
Yuxiang Qiu, Karim Djemili, Denis Elezi +3
This work describes the TrueLearn Python library, which contains a family of online learning Bayesian models for building educational (or more generally, informational) recommendat…
cs.IR2021
Semantic TrueLearn: Using Semantic Knowledge Graphs in Recommendation Systems
Sahan Bulathwela, María Pérez-Ortiz, Emine Yilmaz +1
In informational recommenders, many challenges arise from the need to handle the semantic and hierarchical structure between knowledge areas. This work aims to advance towards buil…