Abstract
Recommender Systems are successfully applied in predicting user preferences. For instance, Recommender Systems have been used in many areas such as e-commerce (for online shopping), entertainment (music, movie, videos recommendations), and in education (learning resource recommendation). Because of their usefulness and popularity, Recommender Systems have become an interesting and hot research topic. They are widely used for building intelligent systems, especially decision support systems. In this work, we introduce the Recommender System and the current techniques that are commonly used in these systems. We then thoroughly describe and conduct a hybrid recommender system using in a consulting web-app and present experimental results.
Advisor
Byrnes, Denise
Second Advisor
Long, Colby
Department
Computer Science; Mathematics
Recommended Citation
Tran, Hieu, "SkillSHARE: An Advisor Consulting Web-app utilizing a Hybrid Recommender Engine" (2020). Senior Independent Study Theses. Paper 8845.
https://openworks.wooster.edu/independentstudy/8845
Disciplines
Computer Sciences | Mathematics
Publication Date
2020
Degree Granted
Bachelor of Arts
Document Type
Senior Independent Study Thesis
© Copyright 2020 Hieu Tran