In recommendation literature, explainability and fairness are becoming t...
Law enforcement regularly faces the challenge of ranking suspects from t...
In recent years, personalization research has been delving into issues o...
Path reasoning is a notable recommendation approach that models high-ord...
Student success models might be prone to develop weak spots, i.e., examp...
Face biometrics are playing a key role in making modern smart city
appli...
Numerous Knowledge Graphs (KGs) are being created to make recommender sy...
In this paper, we propose a novel explanatory framework aimed to provide...
In recent years, there has been a stimulating discussion on how artifici...
Engaging all content providers, including newcomers or minority demograp...
Existing explainable recommender systems have mainly modeled relationshi...
Enabling non-discrimination for end-users of recommender systems by
intr...
The human voice conveys unique characteristics of an individual, making ...
Online educational platforms are promising to play a primary role in
med...
Considering the impact of recommendations on item providers is one of th...
Recommender systems learn from historical data that is often non-uniform...
Initial Coin Offerings (ICO) are public offers of new cryptocurrencies i...