The current hype of Artificial Intelligence (AI) mostly refers to the success of machine
learning and its sub-domain of deep learning. However, AI is also about other areas, such …

“Nature shows us only the tail of the lion. But I do not doubt that the lion belongs to it even
though he cannot at once reveal himself because of his enormous size.”–Albert Einstein The …

Knowledge-based Configuration incorporates knowledge representation formalisms to
capture complex product models and reasoning methods to provide intelligent interactive …

Constraint sets can become inconsistent in different contexts. For example, during a
configuration session the set of customer requirements can become inconsistent with the …

Both content-based and collaborative systems require a significant amount of data about
past buying and rating experiences. For example, collaborative systems require a …

Chatbots have gained increasing importance for research and practice with a lot of
applications available today including Amazon's Alexa or Apple's Siri. In this paper, we …

To prevent ill-formed configurations, highly configurable software often allows defining
constraints over the available options. As these constraints can be complex, fixing a …

In contrast to customers of bricks and mortar stores, users of online selling environments are
not supported by human sales experts. In such situations recommender applications help to …

Given an over-constrained system, a Maximal Satisfiable Subset (MSS) denotes a maximal
set of constraints that are consistent. A Minimal Correction Subset (MCS, or co-MSS) is the …

State of the art recommender systems support users in the selection of items from a
predefined assortment (for example, movies, books, and songs). In contrast to an explicit …