An overview of machine learning techniques in constraint solving

A Popescu, S Polat-Erdeniz, A Felfernig, M Uta… - Journal of Intelligent …, 2022 - Springer
Constraint solving is applied in different application contexts. Examples thereof are the
configuration of complex products and services, the determination of production schedules …

A food recommender system considering nutritional information and user preferences

RY Toledo, AA Alzahrani, L Martinez - IEEE Access, 2019 - ieeexplore.ieee.org
The World Health Organization identifies the overall increasing of noncommunicable
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …

An overview of recommender systems and machine learning in feature modeling and configuration

A Felfernig, VM Le, A Popescu, M Uta… - Proceedings of the 15th …, 2021 - dl.acm.org
Recommender systems support decisions in various domains ranging from simple items
such as books and movies to more complex items such as financial services …

An introduction to personalization and mass customization

J Tiihonen, A Felfernig - Journal of intelligent information systems, 2017 - Springer
Mass customization as a state-of-the-art production paradigm aims to produce
individualized, highly variant products and services with nearly mass production costs. A …

Evaluating group recommender systems

A Felfernig, L Boratto, M Stettinger, M Tkalčič… - … systems: an introduction, 2018 - Springer
In the previous chapters, we have learned how to design group recommender systems but
did not explicitly discuss how to evaluate them. The evaluation techniques for group …

How to scope configuration projects and manage the knowledge they require

S Shafiee, K Kristjansdottir, L Hvam… - Journal of Knowledge …, 2018 - emerald.com
Purpose This paper aims to explore the use of the knowledge management (KM)
perspective for configuration projects. Configuration projects implement configurators as …

Feature Models: AI-Driven Design, Analysis and Applications

A Felfernig, A Falkner, D Benavides - 2024 - library.oapen.org
This open access book provides a basic introduction to feature modelling and analysis as
well as to the integration of AI methods with feature modelling. It is intended as an …

Knowledge-based recommender systems: overview and research directions

M Uta, A Felfernig, VM Le, TNT Tran, D Garber… - Frontiers in big …, 2024 - frontiersin.org
Recommender systems are decision support systems that help users to identify items of
relevance from a potentially large set of alternatives. In contrast to the mainstream …

Analysis operations for constraint-based recommender systems

S Lubos, VM Le, A Felfernig, TNT Tran - … of the 17th ACM Conference on …, 2023 - dl.acm.org
Constraint-based recommender systems support users in the identification of complex items
such as financial services and digital cameras (digicams). Such recommender systems …

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 …