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.