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 …

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 …

The design of recommender systems (RSs) to support software development encompasses
the fulfillment of different steps, including data preprocessing, choice of the most appropriate …

Today, exposure to journalistic online content is predominantly controlled by news
recommender systems, which often suggest content that matches user's interests or is …

Configurators can be evaluated in various ways such as efficiency and completeness of
solution search, optimality of the proposed solutions, usability of configurator user interfaces …

Feature models are used to represent variability properties of complex items. In most of the
cases, the assumption in feature model configuration is that single users/stakeholders are …

Abstract Software Product Line Engineering (SPLE) is a recognized methodology for
systematically develo** reusable software components and tailored software products for …

Constraint-based configurators support users in deciding which components and features
should be included in a configuration. Due to the increasing size and complexity of …

Real-world feature models are typically too large and complex to be configured manually. In
practice, configuration tasks are, therefore, accomplished by employing interactive …

Most recommendation systems are implemented using numerical or categorical data, that is,
traditional data. This type of data can be a limiting factor when used to model complex …