An overview of machine learning techniques in constraint solving
Constraint solving is applied in different application contexts. Examples thereof are the
configuration of complex products and services, the determination of production schedules …
configuration of complex products and services, the determination of production schedules …
A food recommender system considering nutritional information and user preferences
The World Health Organization identifies the overall increasing of noncommunicable
diseases as a major issue, such as premature heart diseases, diabetes, and cancer …
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
Recommender systems support decisions in various domains ranging from simple items
such as books and movies to more complex items such as financial services …
such as books and movies to more complex items such as financial services …
An introduction to personalization and mass customization
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 …
individualized, highly variant products and services with nearly mass production costs. A …
Evaluating group recommender systems
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 …
did not explicitly discuss how to evaluate them. The evaluation techniques for group …
How to scope configuration projects and manage the knowledge they require
Purpose This paper aims to explore the use of the knowledge management (KM)
perspective for configuration projects. Configuration projects implement configurators as …
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 …
well as to the integration of AI methods with feature modelling. It is intended as an …
Knowledge-based recommender systems: overview and research directions
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 …
relevance from a potentially large set of alternatives. In contrast to the mainstream …
Analysis operations for constraint-based recommender systems
Constraint-based recommender systems support users in the identification of complex items
such as financial services and digital cameras (digicams). Such recommender systems …
such as financial services and digital cameras (digicams). Such recommender systems …
Sports recommender systems: overview and research issues
Sports recommender systems receive an increasing attention due to their potential of
fostering healthy living, improving personal well-being, and increasing performances in …
fostering healthy living, improving personal well-being, and increasing performances in …