基于Élő方法的移动电视推荐系统

Q3 Engineering

Pollack Periodica Pub Date : 2024-05-15 DOI:10.1556/606.2024.01063

Zsolt Ercsey, László Forray, Tamás Storcz

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引用次数: 0

摘要

流媒体服务迅速普及。在这些服务中，有线性电视、视频库或节目评论系统，而提供这些内容的在线平台则被称为移动电视。推荐系统不仅可以留住现有客户，如果能向用户介绍新内容，还能带来更多的营业额。本文探讨了基于Élő点计算方法的推荐系统。文中详细介绍了应如何将节目按不同维度分组，以及应考虑哪些类别。此外，还引入了打卡的概念。此外，还设置了用户配置文件。Élő引入的匹配系统适用于当前情况。该系统是在一家拥有 20,000 名用户的本地移动电视供应商中引入的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Élő method based mobile TV recommendation system

Streaming services spread rapidly. Among these services there are the linear TV, video library or program review system, while the online platform offering these contents is called mobile TV. A recommendation system may not only keep existing clients, but may also generate further turnover, should it introduce new content to the users. In this paper a recommendation system based on the Élő point calculation method is addressed. It is detailed how the programs should be grouped into different dimensions and what type of categories should be considered. Further, the idea of punch cards is introduced. Besides, the user profiles are set. The match system introduced by Élő is applied to the present situation. The system is introduced at a local mobile TV provider with 20,000 users.

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来源期刊

Pollack Periodica Engineering-Civil and Structural Engineering

CiteScore

1.50

自引率

0.00%

发文量

期刊介绍： Pollack Periodica is an interdisciplinary, peer-reviewed journal that provides an international forum for the presentation, discussion and dissemination of the latest advances and developments in engineering and informatics. Pollack Periodica invites papers reporting new research and applications from a wide range of discipline, including civil, mechanical, electrical, environmental, earthquake, material and information engineering. The journal aims at reaching a wider audience, not only researchers, but also those likely to be most affected by research results, for example designers, fabricators, specialists, developers, computer scientists managers in academic, governmental and industrial communities.