Dunhong Yao1, 2, 3, Shijun Li4, *, Ang Li5, Yu Chen6
CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1959-1975, 2020, DOI:10.32604/cmc.2020.010186
Abstract There is no reasonable scientific basis for selecting the excellent teachers of
the school’s courses. To solve the practical problem, we firstly give a series of
normalization models for defining the key attributes of teachers’ professional foundation,
course difficulty coefficient, and comprehensive evaluation of teaching. Then, we define
a partial weight function to calculate the key attributes, and obtain the partial
recommendation values. Next, we construct a highly sparse Teaching Recommendation
Factorization Machines (TRFMs) model, which takes the 5-tuples relation including
teacher, course, teachers’ professional foundation, course difficulty, teaching evaluation
as the feature vector, and take partial recommendation value as… More >
Login
Register
