[HTML][HTML] Digital nudging with recommender systems: Survey and future directions
Recommender systems are nowadays a pervasive part of our online user experience, where
they either serve as information filters or provide us with suggestions for additionally relevant …
they either serve as information filters or provide us with suggestions for additionally relevant …
Digital nudging for online food choices
When people search for what to cook for the day, they increasingly use online recipe sites to
find inspiration. Such recipe sites often show popular recipes to make it easier to find a …
find inspiration. Such recipe sites often show popular recipes to make it easier to find a …
[HTML][HTML] Personalized Advertising Design Based on Automatic Analysis of an Individual's Appearance
MA Moreno-Armendáriz, H Calvo, J Faustinos… - Applied Sciences, 2023 - mdpi.com
Featured Application Human resources, security, customer service, and intelligent
recommendations can benefit from deploying and applying systems such as the one …
recommendations can benefit from deploying and applying systems such as the one …
The decoy effect and recommendation systems
N Mousavi, P Adamopoulos… - Information Systems …, 2023 - pubsonline.informs.org
In this paper, we explore the decoy effect in recommendation systems. Including a decoy
item in a set of alternatives can influence the attractiveness of the other items by facilitating …
item in a set of alternatives can influence the attractiveness of the other items by facilitating …
A storytelling robot managing persuasive and ethical stances via act-r: an exploratory study
We present a storytelling robot, controlled via the ACT-R cognitive architecture, able to adopt
different persuasive techniques and ethical stances while conversing about some topics …
different persuasive techniques and ethical stances while conversing about some topics …
Taking the person seriously: Ethically aware IS research in the era of reinforcement learning-based personalization
Advances in reinforcement learning and implicit data collection on large-scale commercial
platforms mark the beginning of a new era of personalization aimed at the adaptive control …
platforms mark the beginning of a new era of personalization aimed at the adaptive control …
When personalization is not an option: an in-the-wild study on persuasive news recommendation
Aiming at granting wide access to their contents, online information providers often choose
not to have registered users, and therefore must give up personalization. In this paper, we …
not to have registered users, and therefore must give up personalization. In this paper, we …
Intelligent decision making framework for 6G network
Sixth Generation (6G) wireless communication network has been expected to provide global
coverage, enhanced spectral efficiency, and AI (Artificial Intelligence)-native intelligence …
coverage, enhanced spectral efficiency, and AI (Artificial Intelligence)-native intelligence …
Toward A Two-Sided Fairness Framework in Search and Recommendation
J Liu - Proceedings of the 2023 Conference on Human …, 2023 - dl.acm.org
As artificial intelligence (AI) assisted search and recommender systems have become
ubiquitous in workplaces and everyday lives, understanding and accounting for fairness has …
ubiquitous in workplaces and everyday lives, understanding and accounting for fairness has …
[PDF][PDF] Decoy Effect of Recommendation Systems on Real E-commerce Websites.
Recommendations on e-commerce websites help users discover their interests and assist
them in deciding on items to purchase; however, users are prone to bias when comparing …
them in deciding on items to purchase; however, users are prone to bias when comparing …