activity
20192022
most citedModelling Users with Item Metadata for Explainable and Interactive Recommendation

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2022★ 2 cited

Modelling Users with Item Metadata for Explainable and Interactive Recommendation

Joey De Pauw, Koen Ruymbeek, Bart Goethals

Recommender systems are used in many different applications and contexts, however their main goal can always be summarised as "connecting relevant content to interested users". Per…

math.NA2020

Subspace method for multiparameter-eigenvalue problems based on tensor-train representations

Koen Ruymbeek, Karl Meerbergen, Wim Michiels

In this paper we solve -parameter eigenvalue problems (EPs), with any natural number by representing the problem using Tensor-Trains (TT) and designing a method based on…

math.NA2020

Tensor-Krylov method for computing eigenvalues of parameter-dependent matrices

Koen Ruymbeek, Karl Meerbergen, Wim Michiels

In this paper we extend the Residual Arnoldi method for calculating an extreme eigenvalue (e.g. largest real part, dominant,...) to the case where the matrices depend on parameters…

math.NA2019

Calculating the minimal/maximal eigenvalue of symmetric parametrized matrices using projection

Koen Ruymbeek, Karl Meerbergen, Wim Michiels

In applications of linear algebra including nuclear physics and structural dynamics, there is a need to deal with uncertainty in the matrices. We focus on matrices that depend on a…

eess.IV2019

Algorithm for the reconstruction of dynamic objects in CT-scanning using optical flow

Koen Ruymbeek, Wim Vanroose

Computed Tomography is a powerful imaging technique that allows non-destructive visualization of the interior of physical objects in different scientific areas. In traditional reco…