大数据分析和人工智能是在线视频流媒体平台的成功因素。

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Frontiers in Big Data Pub Date : 2025-02-06 eCollection Date: 2025-01-01 DOI:10.3389/fdata.2025.1513027
Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe
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引用次数: 0

摘要

随着当前这代人对移动设备的使用迅速增加,在线视频流已经上升到娱乐行业的顶端。由于大数据分析和人工智能的结合,这些平台经历了激进的扩张,这对改善用户界面、改善其功能和定制推荐内容至关重要。本文旨在研究大数据分析如何使获取大量关于用户的数据成为可能,以及他们如何查看,他们喜欢什么,或者他们如何行为。虽然客户可以从这些数据中获得更合适的材料,获得更好的推荐,并允许更有效的内容交付,但人工智能利用了它。因此,该研究还指出了这些技术在促进业务发展、用户交互和保持在线视频流市场竞争力方面的重要性和相关性,并举例说明了它们的有效应用。本研究对大数据和人工智能的综合作用进行了全面调查,并提出了必要的发现,以确定它们作为现有和未来视频流媒体服务成功因素的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Big data analytics and AI as success factors for online video streaming platforms.

Big data analytics and AI as success factors for online video streaming platforms.

Big data analytics and AI as success factors for online video streaming platforms.

Big data analytics and AI as success factors for online video streaming platforms.

As the trend in the current generation with the use of mobile devices is rapidly increasing, online video streaming has risen to the top in the entertainment industry. These platforms have experienced radical expansion due to the incorporation of Big Data Analytics and Artificial Intelligence which are critical in improving the user interface, improving its functioning, and customization of recommended content. This paper seeks to examine how Big Data Analytics makes it possible to obtain large amounts of data about users and how they view, what they like, or how they behave. While customers benefit from this data by receiving more suitable material, getting better recommendations, and allowing for more efficient content delivery, AI utilizes it. As a result, the study also points to the importance and relevance of such technologies to promote business development, and user interaction and maintain competitiveness in the online video streaming market with examples of their effective application. This work presents a comprehensive investigation of the combined role of Big Data and AI and presents the necessary findings to determine their efficacy as success factors of existing and future video streaming services.

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来源期刊
CiteScore
5.20
自引率
3.20%
发文量
122
审稿时长
13 weeks
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