Abstract: Constraint-based recommendation systems are used in many different domains like notebooks, cars, and mobile phones. Such systems describe product domains in sets of product and customer variables, their domains, and constraints which define the relationship between the variables.
Maintenance is a crucial task in constraint-based recommendation systems, because it is time-consuming and error-prone. We implemented a new application called 'iCone' (intelligent environment for the development and maintenance of configuration knowledge bases) to support knowledge engineers and their maintenance tasks. We present intelligent techniques like recommendation, anomaly management, dependency detection, and metrics to support knowledge engineers when maintaining constraint-based systems.
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