End-user Configuration of Recommender Algorithms
Description
Group recommenders are sophisticated cooperative systems, and comprise a variety of complex algorithms for determining recommendations for groups of users. The complexity of generating appropriate recommendations induces a great challenge for end-users. In this thesis concepts and prototype implementations an end-user editor for configuring parameters of the group recommender algorithms are developed.
People
Tom Gross, Supervisor
Maximilian Schirmer, Master's candidate