Human Computation Based Acquisition of Financial Service Advisory Practices
نویسندگان
چکیده
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).
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