Human Computation Based Acquisition Of Financial Service Advisory Practices
Alexander Felfernig, Michael Jeran, Martin Stettinger, Thomas Absenger, Thomas Olaf Gruber, Sarah Haas, Emanuel Kirchengast, Michael Schwarz, Lukas Skofitsch, Thomas Ulz · 2015
Knowledge-based recommenders support an easier comprehension of complex item assortments (e.g., financial services and electronic equipment). In this paper we show (1) how such recommenders can be developed in a Human Computation based knowledge acquisition environment (PEOPLEVIEWS) and (2) how the resulting recommendation knowledge can be exploited in a competition-based e-Learning environment (STUDYBATTLE).