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数字音乐流媒体平台中用于改善消费者订阅反应的人工智能自动化分析:综述

An analysis of artificial intelligence automation in digital music streaming platforms for improving consumer subscription responses: a review.

作者信息

Mokoena Nontokozo, Obagbuwa Ibidun Christiana

机构信息

Centre for Applied Data Science, University of Johannesburg, Johannesburg, South Africa.

Faculty of Natural and Applied Sciences, Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa.

出版信息

Front Artif Intell. 2025 Jan 15;7:1515716. doi: 10.3389/frai.2024.1515716. eCollection 2024.

Abstract

The rapid adoption and evolving nature of artificial intelligence (AI) is playing a significant role in shaping the music streaming industry. AI has become a key player in transforming the digital music streaming industry, particularly in enhancing user experiences and driving subscription growth. Through AI automation, platforms personalize music recommendations, optimize subscription offerings, and improve customer support services. This article reviews the role of AI in driving consumer subscription behaviors on digital music streaming platforms (DMSP), with a focus on recommendation algorithms, dynamic pricing models, marketing automation, and the future of AI in the music industry. Potential challenges related to privacy, ethics, and algorithmic biases are also discussed, showcasing how AI is revolutionizing the music streaming industry.

摘要

人工智能(AI)的迅速采用及其不断演变的性质,在塑造音乐流媒体行业方面发挥着重要作用。人工智能已成为数字音乐流媒体行业变革的关键因素,尤其是在提升用户体验和推动订阅增长方面。通过人工智能自动化,平台实现音乐推荐个性化、优化订阅服务并改善客户支持服务。本文回顾了人工智能在推动数字音乐流媒体平台(DMSP)上的消费者订阅行为方面的作用,重点关注推荐算法、动态定价模型、营销自动化以及人工智能在音乐行业的未来发展。还讨论了与隐私、伦理和算法偏见相关的潜在挑战,展示了人工智能如何彻底改变音乐流媒体行业。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3fad/11774895/4fd256b150d0/frai-07-1515716-g001.jpg

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