2 citations · 2 across the 2 of their papers we have counts for
4 papers
FaiREO: User Group Fairness for Equality of Opportunity in Course Recommendation
Agoritsa Polyzou, Maria Kalantzi, George Karypis
Course selection is challenging for students in higher educational institutions. Existing course recommendation systems make relevant suggestions to the students and help them in e…
Position-based Hash Embeddings For Scaling Graph Neural Networks
Maria Kalantzi, George Karypis
Graph Neural Networks (GNNs) bring the power of deep representation learning to graph and relational data and achieve state-of-the-art performance in many applications. GNNs comput…
FERN: Fair Team Formation for Mutually Beneficial Collaborative Learning
Maria Kalantzi, Agoritsa Polyzou, George Karypis
Automated Team Formation is becoming increasingly important for a plethora of applications in open source community projects, remote working platforms, as well as online educationa…
LLFR: A Lanczos-Based Latent Factor Recommender for Big Data Scenarios
Maria Kalantzi
The purpose if this master's thesis is to study and develop a new algorithmic framework for Collaborative Filtering to produce recommendations in the top-N recommendation problem.…