19 citations · 24 across the 7 of their papers we have counts for
4 papers · 1 filter
Designing Explanations for Group Recommender Systems
A. Felfernig, N. Tintarev, T. N. T. Trang +1
Explanations are used in recommender systems for various reasons. Users have to be supported in making (high-quality) decisions more quickly. Developers of recommender systems want…
An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment
Alexander Felfernig, Stefan Reiterer, Martin Stettinger +1
Constraint-based recommenders support users in the identification of items (products) fitting their wishes and needs. Example domains are financial services and electronic equipmen…
Recommender Systems for Configuration Knowledge Engineering
Alexander Felfernig, Stefan Reiterer, Martin Stettinger +3
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 m…
KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting
Martin Stettinger, Trang Tran, Ingo Pribik +5
Existing e-learning environments primarily focus on the aspect of providing intuitive learning contents and to recommend learning units in a personalized fashion. The major focus o…