A Recommendation System for Prediction of Elective Subjects

  • Samrit N
N/ACitations
Citations of this article
8Readers
Mendeley users who have this article in their library.

Abstract

Besides recommending courses which are compulsory for every student to be taken, universities as well as autonomous colleges also offer elective courses selected by the students themselves. At an undergraduate level some students find it difficult to make the choice of elective subjects. By using the information of the past courses taken by the student it is possible to guide the student about elective courses correct for him/her, based on experiences of the other students. In this paper we model the past students performance in elective in relation to other courses taken in past and recommend student on the basis of this model.

Cite

CITATION STYLE

APA

Samrit, N. B. (2017). A Recommendation System for Prediction of Elective Subjects. International Journal for Research in Applied Science and Engineering Technology, V(IV), 36–43. https://doi.org/10.22214/ijraset.2017.4007

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free