This article presents the first, systematic analysis of the ethical challenges posed by recommender systems through a literature review. The article identifies six areas of concern, and maps them onto a proposed taxonomy of different kinds of ethical impact. The analysis uncovers a gap in the literature: currently user-centred approaches do not consider the interests of a variety of other stakeholders—as opposed to just the receivers of a recommendation—in assessing the ethical impacts of a recommender system
International audienceMost of product recommender systems are based on artificial intelligence algor...
Policy decisions are increasingly dependent on abundant volumes of data. This dependence is highly c...
Recommender systems are ubiquitously used by online vendors as profitable tools to boost sales and e...
This article presents the first, systematic analysis of the ethical challenges posed by recommender ...
In a hyperconnected world, recommendation systems (RS) are one of the most widespread commercial app...
The goal of our study is to provide a holistic view on various ethical challenges that complicate th...
This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Followin...
In this paper, we extend the current research in the recommendation system community by showing that...
In this paper, we extend the current research in the recommendation system community by showing that...
Recommendations are long chains followed from traditional life to today’s life. In everyday life, th...
Recommender systems have become an integral part of virtually every e-commerce application on the we...
Recommender systems are algorithmic tools that assist users in discovering relevant items from a wid...
The rise of digital libraries and the pertinent problem of information overload have contributed to ...
Over the recent years, a plethora of recommender systems (RS) have been proposed by academics. The d...
Recommendation engines are commonly used in the entertainment industry to keep users glued in front ...
International audienceMost of product recommender systems are based on artificial intelligence algor...
Policy decisions are increasingly dependent on abundant volumes of data. This dependence is highly c...
Recommender systems are ubiquitously used by online vendors as profitable tools to boost sales and e...
This article presents the first, systematic analysis of the ethical challenges posed by recommender ...
In a hyperconnected world, recommendation systems (RS) are one of the most widespread commercial app...
The goal of our study is to provide a holistic view on various ethical challenges that complicate th...
This article analyses the ethical aspects of multistakeholder recommendation systems (RSs). Followin...
In this paper, we extend the current research in the recommendation system community by showing that...
In this paper, we extend the current research in the recommendation system community by showing that...
Recommendations are long chains followed from traditional life to today’s life. In everyday life, th...
Recommender systems have become an integral part of virtually every e-commerce application on the we...
Recommender systems are algorithmic tools that assist users in discovering relevant items from a wid...
The rise of digital libraries and the pertinent problem of information overload have contributed to ...
Over the recent years, a plethora of recommender systems (RS) have been proposed by academics. The d...
Recommendation engines are commonly used in the entertainment industry to keep users glued in front ...
International audienceMost of product recommender systems are based on artificial intelligence algor...
Policy decisions are increasingly dependent on abundant volumes of data. This dependence is highly c...
Recommender systems are ubiquitously used by online vendors as profitable tools to boost sales and e...