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Algorithmic Symphonies: How Spotify Strikes the Right Chord - USC Viterbi School of Engineering

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Jonathan Wong is a junior at the University of Southern California, pursuing a bachelor's degree in Computer Science and Business. He has a passion for music and storytelling and is involved in various organizations such as HackSC, TASSEL, Taiwanese American Organization, and Delta Omicron Zeta. Jonathan is enthusiastic about exploring the intersection of technology and creative industries, and he hopes to use his skillset to make an impact in the world. This article explores Spotify’s recommendation algorithm, including how it has revolutionized the music industry, and the machine learning techniques it uses, such as collaborative filtering, hybrid recommendation, and feedback loops. Through a discussion regarding the importance of data collection and the role it plays in the success of Spotify’s algorithm,  the implications of advanced recommendation algorithms on the broader field of AI and its relationship with human intelligence will be observed. Keywords: Artificial Intelligence,

Entertainment Issue I Volume XXIV About the Author: Jonathan Wong Jonathan Wong is a junior at the University of Southern California, pursuing a bachelor's degree in Computer Science and Business. He has a passion for music and storytelling and is involved in various organizations such as HackSC, TASSEL, Taiwanese American Organization, and Delta Omicron Zeta. Jonathan is enthusiastic about exploring the intersection of technology and creative industries, and he hopes to use his skillset to make an impact in the world. Abstract: This article explores Spotify’s recommendation algorithm, i

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