Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities
Recommender systems have been researched extensively over the past decades. Whereas
several algorithms have been developed and deployed in various application domains …
several algorithms have been developed and deployed in various application domains …
A mapping of IoT user-centric privacy preserving approaches to the GDPR
AD Kounoudes, GM Kapitsaki - Internet of Things, 2020 - Elsevier
The vast amount of personal data collected and shared in the Internet of Things (IoT) is
causing increasing concerns regarding the user privacy in IoT. The recently introduced …
causing increasing concerns regarding the user privacy in IoT. The recently introduced …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Measuring price discrimination and steering on e-commerce web sites
Today, many e-commerce websites personalize their content, including Netflix (movie
recommendations), Amazon (product suggestions), and Yelp (business reviews). In many …
recommendations), Amazon (product suggestions), and Yelp (business reviews). In many …
AI in education, learner control, and human-AI collaboration
P Brusilovsky - International Journal of Artificial Intelligence in …, 2024 - Springer
User control and human-AI collaboration are two related directions of research in the
modern stream of work on human-centered AI. The field of AI in education was an early …
modern stream of work on human-centered AI. The field of AI in education was an early …
Understanding and controlling the filter bubble through interactive visualization: a user study
S Nagulendra, J Vassileva - Proceedings of the 25th ACM conference on …, 2014 - dl.acm.org
The" filter bubble" is a term which refers to people getting encapsulated in streams of data
such as news or social network updates that are personalized to their interests. While …
such as news or social network updates that are personalized to their interests. While …
Effects of personal characteristics on music recommender systems with different levels of controllability
Previous research has found that enabling users to control the recommendation process
increases user satisfaction. However, providing additional controls also increases cognitive …
increases user satisfaction. However, providing additional controls also increases cognitive …
Effects of personal characteristics in control-oriented user interfaces for music recommender systems
Music recommender systems typically offer a “one-size-fits-all” approach with the same user
controls and visualizations for all users. However, the effectiveness of interactive interfaces …
controls and visualizations for all users. However, the effectiveness of interactive interfaces …
Interactive intent modeling for exploratory search
Exploratory search requires the system to assist the user in comprehending the information
space and expressing evolving search intents for iterative exploration and retrieval of …
space and expressing evolving search intents for iterative exploration and retrieval of …
HCI for recommender systems: the past, the present and the future
How can you discover something new, that matches your interest? Recommender Systems
have been studied since the 90ies. Their benefit comes from guiding a user through the …
have been studied since the 90ies. Their benefit comes from guiding a user through the …