Literature Review of Recommendation Systems

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Author(s): Irene Maria Gironacci (Swinburne University of Technology, Australia)
Copyright: 2021
Pages: 11
Source title: Transdisciplinary Perspectives on Risk Management and Cyber Intelligence
Source Author(s)/Editor(s): Luisa Dall'Acqua (University of Bologna, Italy & LS TCO, Italy)and Irene Maria Gironacci (Swinburne University of Technology, Australia)
DOI: 10.4018/978-1-7998-4339-9.ch009

Keywords: Business & Management / Cyber and Network Security / Information Science Reference / Risk Management & Analysis

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Abstract

Artificial intelligence technologies are currently at the core of many sectors and industries—from cyber security to healthcare—and also have the power to influence the governance of domestic industry, the security and privacy citizens. In particular, the rise of new machine learning methods, such as those used in recommendation systems, provides many opportunities in terms of personalization. Big players like YouTube, Amazon, Netflix, Spotify, and many others are currently using recommendation systems to improve their business. Recommender systems are critical in some industries as they can generate income and provide a way to stand out from competitors. In this chapter, a literature review of recommendation systems is presented, as well as the application of recommendation systems in industry.

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