Configuring Multiple Instances with Multi-Configuration

no code implementations • 20 Sep 2021 • Alexander Felfernig, Andrei Popescu, Mathias Uta, Viet-Man Le, Seda Polat-Erdeniz, Martin Stettinger, Müslüm Atas, Thi Ngoc Trang Tran

Configuration is a successful application area of Artificial Intelligence.

An Overview of Direct Diagnosis and Repair Techniques in the WeeVis Recommendation Environment

no code implementations • 24 Feb 2021 • Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Michael Jeran

Constraint-based recommenders support users in the identification of items (products) fitting their wishes and needs.

Towards Utility-based Prioritization of Requirements in Open Source Environments

no code implementations • 17 Feb 2021 • Alexander Felfernig, Martin Stettinger, Müslüm Atas, Ralph Samer, Jennifer Nerlich, Simon Scholz, Juha Tiihonen, Mikko Raatikainen

Requirements Engineering in open source projects such as Eclipse faces the challenge of having to prioritize requirements for individual contributors in a more or less unobtrusive fashion.

Recommender Systems for Configuration Knowledge Engineering

no code implementations • 16 Feb 2021 • Alexander Felfernig, Stefan Reiterer, Martin Stettinger, Florian Reinfrank, Michael Jeran, Gerald Ninaus

The knowledge engineering bottleneck is still a major challenge in configurator projects.

Recommendation Systems

KnowledgeCheckR: Intelligent Techniques for Counteracting Forgetting

no code implementations • 15 Feb 2021 • Martin Stettinger, Trang Tran, Ingo Pribik, Gerhard Leitner, Alexander Felfernig, Ralph Samer, Muesluem Atas, Manfred Wundara

In this paper, we provide an overview of the recommendation approaches integrated in KnowledgeCheckR.

Collaborative Filtering Question Answering +1