Recommender Systems for Configuration Knowledge Engineering

• URL: http://arxiv.org/abs/2102.08113v1
• Date: Tue, 16 Feb 2021 12:29:54 GMT
• Title: Recommender Systems for Configuration Knowledge Engineering
• Authors: Alexander Felfernig and Stefan Reiterer and Martin Stettinger and Florian Reinfrank and Michael Jeran and Gerald Ninaus
• Abstract summary: We show how recommender systems can support knowledge base development and maintenance processes. We report the results of empirical studies which show the importance of user-centered configuration knowledge organization.
• Score: 55.41644538483948
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The knowledge engineering bottleneck is still a major challenge in configurator projects. In this paper we show how recommender systems can support knowledge base development and maintenance processes. We discuss a couple of scenarios for the application of recommender systems in knowledge engineering and report the results of empirical studies which show the importance of user-centered configuration knowledge organization.

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