Recommender systems in the healthcare domain: state-of-the-art and research issues
Nowadays, a vast amount of clinical data scattered across different sites on the Internet
hinders users from finding helpful information for their well-being improvement. Besides, the …
hinders users from finding helpful information for their well-being improvement. Besides, the …
Recommender systems: an overview, research trends, and future directions
Recommender system (RS) has emerged as a major research interest that aims to help
users to find items online by providing suggestions that closely match their interest. This …
users to find items online by providing suggestions that closely match their interest. This …
Recommender systems and their ethical challenges
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 …
recommender systems through a literature review. The article identifies six areas of concern …
Sequential information design: Markov persuasion process and its efficient reinforcement learning
In today's economy, it becomes important for Internet platforms to consider the sequential
information design problem to align its long term interest with incentives of the gig service …
information design problem to align its long term interest with incentives of the gig service …
[HTML][HTML] A hybrid mental health prediction model using Support Vector Machine, Multilayer Perceptron, and Random Forest algorithms
ES Mohamed, TA Naqishbandi, SAC Bukhari, I Rauf… - Healthcare …, 2023 - Elsevier
The prevalence and burden of mental health disorders are on the rise in conflict zones, and
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …
if left untreated, they can lead to considerable lifetime disability. Following the repeal of …
Towards an ethical recommendation framework
D Paraschakis - … on research challenges in information science …, 2017 - ieeexplore.ieee.org
The goal of our study is to provide a holistic view on various ethical challenges that
complicate the design and use of recommender systems (RS). Our findings materialize into …
complicate the design and use of recommender systems (RS). Our findings materialize into …
Recommender systems from an industrial and ethical perspective
D Paraschakis - Proceedings of the 10th ACM conference on …, 2016 - dl.acm.org
Over the recent years, a plethora of recommender systems (RS) have been proposed by
academics. The degree of adoptability of these algorithms by industrial e-commerce …
academics. The degree of adoptability of these algorithms by industrial e-commerce …
The Right to be an Exception to Predictions: a Moral Defense of Diversity in Recommendation Systems
E Viganò - Philosophy & Technology, 2023 - Springer
Recommendation systems (RSs) predict what the user likes and recommend it to them.
While at the onset of RSs, the latter was designed to maximize the recommendation …
While at the onset of RSs, the latter was designed to maximize the recommendation …
Ethical issues with artificial ethics assistants
E O'Neill, M Klincewicz, M Kemmer - The Oxford Handbook of …, 2022 - books.google.com
Flora is in a restaurant, chatting with a group of friends, when the conversation turns to
climate change, animal welfare, and diet. By the time the waiter asks her what she'd like for …
climate change, animal welfare, and diet. By the time the waiter asks her what she'd like for …
Ethics of food recommender applications
D Karpati, A Najjar, DA Ambrossio - … of the AAAI/ACM Conference on AI …, 2020 - dl.acm.org
The recent unprecedented popularity of food recommender applications has raised several
issues related to the ethical, societal and legal implications of relying on these applications …
issues related to the ethical, societal and legal implications of relying on these applications …