Online Archive of University of Virginia Scholarship
Thesis Portfolio Project431 views
Author
Keaton, Brendan, School of Engineering and Applied Science, University of Virginia
Advisors
Orrico, Elizabeth, Computer Science, University of Virginia
Baritaud, Catherine, Engineering and Society, University of Virginia
Neeley, Kathryn, Engineering and Society, University of Virginia
Abstract
One of the most exciting emerging technologies shaping the internet is recommendation algorithms. Recommendation systems take in countless types of data to recommend new items to users. This paper begins with an introduction and summarizes the base knowledge necessary to understand the world of recommendation systems. Following this, the paper will discuss current technologies for the reader to understand where the industry currently stands. The paper will then delve into the research conducted in the last few years, to project the future of the industry. The technical paper will conclude with what problems have arisen and need to be solved in the future. The thesis will then move to an analysis of ethical dilemmas facing recommendation systems.
Degree
BS (Bachelor of Science)
Keywords
Recommendation Systems
Language
English
Rights
All rights reserved (no additional license for public reuse)
Keaton, Brendan. Thesis Portfolio Project. University of Virginia, School of Engineering and Applied Science, BS (Bachelor of Science), 2023-12-17, https://doi.org/10.18130/bem4-3v72.
