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Recommender Systems for Configuration Knowledge Engineering
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Paper
Recommender Systems for Configuration Knowledge Engineering
2021
Overview
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.
Publisher
Cornell University Library, arXiv.org
