Fast and Examination-agnostic Reciprocal Recommendation in Matching Markets

Exploration of Unranked Items in Safe Online Learning to Re-Rank

Curse of “Low” Dimensionality in Recommender Systems

A Critical Reexamination of Intra-List Distance and Dispersion

Fair Matrix Factorisation for Large-Scale Recommender Systems

Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph

Scalable Personalised Item Ranking through Parametric Density Estimation

Density-Ratio Based Personalised Ranking from Implicit Feedback