Machine learning is an interdisciplinary approach in building mathematical models from known inputs to make data-driven predictions and decisions. In this project, we provide a background for the different forms of machine learning and the plethora of scientific applications it is used for. We then narrow our view specifically to item recommendation systems and present the mathematical and statistical methods used to generate predictive recommendations to a system's users. The project culminates in a sample recommendation system we programmed in MATLAB utilizing publicly available movie and joke rating data sets.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Silva, Dennis Steven

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-032216-131654

Advisor

• Olson, Sarah D

Year

• 2016

Date created

• 2016-03-22

Resource type

• Major Qualifying Project

Major

• Mathematical Sciences

Rights statement

• In Copyright