Choosing a major in high school or undergraduate stage is an important decision in the person life. To find students’ majors as earlier as possible can help them to choose correct learning direction. Hence, it is essential to build a recommendation system that provides direction and guidance to students. In this regard, this study proposes Occupation Recommendation System with major program of study (ORS), a framework to assist students in the major/occupation selection, to provide the information about contemporary occupations, and to suggest the suitable occupations with major program of study based on their learning style, personality and vocational interests. Collaborative Filtering (CF) methods are employed, namely, a memory-based CF on vocational interest and a model-based CF on a regression model according to the learning style and the personality. The system provide top 10 occupations for each method respectively. This paper describes the architecture and interface of ORS and shows the experiments with 190 high school students. Moreover, comparisons between recommended majors, suggested majors by parents and students’ intended majors are made.
|期刊||Proceedings of Science|
|出版狀態||已出版 - 2017|
|事件||2017 International Symposium on Grids and Clouds, ISGC 2017 - Taipei, Taiwan|
持續時間: 5 3月 2017 → 10 3月 2017