Personalising explainable recommendations: literature and conceptualisation

M Naiseh, N Jiang, J Ma, R Ali - … Systems and Technologies: Volume 2 8, 2020‏ - Springer
Explanations in intelligent systems aim to enhance a users' understandability of their
reasoning process and the resulted decisions and recommendations. Explanations typically …

Explainable recommendations in intelligent systems: delivery methods, modalities and risks

M Naiseh, N Jiang, J Ma, R Ali - … , September 23–25, 2020, Proceedings 14, 2020‏ - Springer
With the increase in data volume, velocity and types, intelligent human-agent systems have
become popular and adopted in different application domains, including critical and …

Personalized news recommendation and simulation based on improved collaborative filtering algorithm

K Han - Complexity, 2020‏ - Wiley Online Library
Faced with massive amounts of online news, it is often difficult for the public to quickly locate
the news they are interested in. The personalized recommendation technology can dig out …

On-demand personalized explanation for transparent recommendation

M Guesmi, MA Chatti, L Vorgerd, S Joarder… - Adjunct Proceedings of …, 2021‏ - dl.acm.org
The literature on explainable recommendations is already rich. In this paper, we aim to shed
light on an aspect that remains under-explored in this area of research, namely providing …

Assessing the Impact of Recommendation Novelty on Older Consumers: Older Does Not Always Mean the Avoidance of Innovative Products

L Zhao, B Fu - Behavioral Sciences, 2024‏ - mdpi.com
Personalized recommendations that use digital technologies to predict user interests and
preferences and give guiding conclusions have become a widely used digital marketing tool …

A case study on the design and implementation of a platform for hand rehabilitation

T Kosar, Z Lu, M Mernik, M Horvat, M Črepinšek - Applied Sciences, 2021‏ - mdpi.com
Rehabilitation aids help people with temporal or permanent disabilities during the
rehabilitation process. However, these solutions are usually expensive and, consequently …

Personalized Recommendation Algorithm for Electronic Commerce Based on Artificial Intelligence Technology

Y Zhang, C Li - 2023 International Conference on Integrated …, 2023‏ - ieeexplore.ieee.org
In the era of e-commerce, a large amount of data and complex business models make
traditional manual recommendations difficult to adapt to constantly changing personalized …

A topic modelling based approach towards personalized and health-aware food recommendation

M Khan - 2022‏ - researchrepository.ucd.ie
In this thesis, we present our research addressing various food-domain specific challenges.
The overall aim is to produce systems that support personalized, health-aware, and context …