22 citations · 37 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
Towards Proactive Information Retrieval in Noisy Text with Wikipedia Concepts
Tabish Ahmed, Sahan Bulathwela
Extracting useful information from the user history to clearly understand informational needs is a crucial feature of a proactive information retrieval system. Regarding understand…
Watch Less and Uncover More: Could Navigation Tools Help Users Search and Explore Videos?
Maria Perez-Ortiz, Sahan Bulathwela, Claire Dormann +6
Prior research has shown how 'content preview tools' improve speed and accuracy of user relevance judgements across different information retrieval tasks. This paper describes a no…
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…