Multi-objective optimization with recommender systems: A systematic review

FE Zaizi, S Qassimi, S Rakrak - Information Systems, 2023 - Elsevier
Recommender systems have become essential in modern information systems and Internet
applications by delivering personalized and pertinent content to users. While conventional …

Recommender systems for sustainability: overview and research issues

A Felfernig, M Wundara, TNT Tran… - Frontiers in big …, 2023 - frontiersin.org
Sustainability development goals (SDGs) are regarded as a universal call to action with the
overall objectives of planet protection, ending of poverty, and ensuring peace and prosperity …

Sports recommender systems: overview and research directions

A Felfernig, M Wundara, TNT Tran, VM Le… - Journal of intelligent …, 2024 - Springer
Sports recommender systems receive an increasing attention due to their potential of
fostering healthy living, improving personal well-being, and increasing performances in …

Exploring the added effect of three recommender system techniques in mobile health interventions for physical activity: a longitudinal randomized controlled trial

I Coppens, T De Pessemier, L Martens - User Modeling and User-Adapted …, 2024 - Springer
Physical inactivity is a public health issue. Mobile health interventions to promote physical
activity often still experience dropout, resulting in people not adhering to the interventions …

A multi-population based evolutionary algorithm for many-objective recommendations

L Zhang, H Zhang, Z Chen, S Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Multi-objective evolutionary algorithms (MOEAs) have been proved to be competitive in
recommender systems. As the application scenarios of recommender systems become …

Precision-Driven Product Recommendation Software: Unsupervised Models, Evaluated by GPT-4 LLM for Enhanced Recommender Systems

KI Roumeliotis, ND Tselikas, DK Nasiopoulos - Software, 2024 - mdpi.com
This paper presents a pioneering methodology for refining product recommender systems,
introducing a synergistic integration of unsupervised models—K-means clustering, content …

Evolutionary approach for building, exploring and recommending complex items with application in nutritional interventions

B Ortiz-Viso, A Morales-Garzon… - IEEE …, 2023 - ieeexplore.ieee.org
Over the last few years, the ability of recommender systems to help us in different
environments has been increasing. Several systems try to offer solutions in highly complex …

Preference-learning emitters for mixed-initiative quality-diversity algorithms

R Gallotta, K Arulkumaran… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In mixed-initiative cocreation tasks, wherein a human and a machine jointly create items, it is
important to provide multiple relevant suggestions to the designer. Quality-diversity …

Sports recommender systems: overview and research issues

A Felfernig, M Wundara, TNT Tran, VM Le… - arxiv preprint arxiv …, 2023 - arxiv.org
Sports recommender systems receive an increasing attention due to their potential of
fostering healthy living, improving personal well-being, and increasing performances in …

Connecting physical activity with context and motivation: a user study to define variables to integrate into mobile health recommenders

I Coppens, T De Pessemier, L Martens - User Modeling and User-Adapted …, 2024 - Springer
In this paper, we aim to improve existing health recommender systems by defining relevant
contextual and motivational variables to recommend physical activities and collect …