5 citations · 8 across the 3 of their papers we have counts for
6 papers · 1 filter
Graph Reasoning for Explainable Cold Start Recommendation
Jibril Frej, Marta Knezevic, Tanja Kaser
The cold start problem, where new users or items have no interaction history, remains a critical challenge in recommender systems (RS). A common solution involves using Knowledge G…
Course Recommender Systems Need to Consider the Job Market
Jibril Frej, Anna Dai, Syrielle Montariol +2
Current course recommender systems primarily leverage learner-course interactions, course content, learner preferences, and supplementary course details like instructor, institutio…
Finding Paths for Explainable MOOC Recommendation: A Learner Perspective
Jibril Frej, Neel Shah, Marta Knežević +2
The increasing availability of Massive Open Online Courses (MOOCs) has created a necessity for personalized course recommendation systems. These systems often combine neural networ…
Learning Term Discrimination
Jibril Frej, Phillipe Mulhem, Didier Schwab +1
Document indexing is a key component for efficient information retrieval (IR). After preprocessing steps such as stemming and stop-word removal, document indexes usually store term…
WIKIR: A Python toolkit for building a large-scale Wikipedia-based English Information Retrieval Dataset
Jibril Frej, Didier Schwab, Jean-Pierre Chevallet
Over the past years, deep learning methods allowed for new state-of-the-art results in ad-hoc information retrieval. However such methods usually require large amounts of annotated…
Enhancing Translation Language Models with Word Embedding for Information Retrieval
Jibril Frej, Jean-Pierre Chevallet, Didier Schwab
In this paper, we explore the usage of Word Embedding semantic resources for Information Retrieval (IR) task. This embedding, produced by a shallow neural network, have been shown…