Matrix Factorization Method For Lagre Recommendation System

Open Access
Li, Yunhang
Graduate Program:
Industrial Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
Committee Members:
  • Tao Yao, Thesis Advisor
  • Recommendation system
  • Matrix Factorization
Recommendation system is a very popular topic in recent years. It’s very efficient to utilize machine learning algorithms to improve the performance of recommendation systems. In this thesis, the Matrix Factorization (MF) is discussed including its basic model and some extensions: regularized MF and neighbor based MF. The process of processing data and effort to improve the process are also presented.