Faculty Advisor

Olson, Sarah D

Abstract

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.

Publisher

Worcester Polytechnic Institute

Date Accepted

March 2016

Major

Mathematical Sciences

Project Type

Major Qualifying Project

Accessibility

Unrestricted

Advisor Department

Mathematical Sciences

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