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Recommender: Helping viewers in their choice for educational programs in digital TV context

机译:推荐人:帮助观众选择数字电视环境中的教育节目

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Currently in Brazil, a fundamental change is taking place in TV: the migration from analogue to digital TV system. This change has two main implications: an increase in transmission capacity for new channels with the same bandwidth and the ability to send applications with multiplexed audio-visual content. Brazilian government aims to exploit the transmission capacity for new channels offering programming created to distance learning and thereby promoting social inclusion in the vast majority of the population. This information overload demands mechanisms to help students to browse and select what education programs are best suited to their current level. Personalized recommendation systems emerge as a solution to this problem, providing the viewer with educational programs relevant to his profile. In this paper we present a personalized recommendation system, the Recommender consistent with the reference implementation of the Brazilian digital TV system. Finally, we present the results obtained after using the proposed system.
机译:目前在巴西,电视正在发生根本变化:从模拟电视向数字电视系统的过渡。此更改有两个主要含义:增加具有相同带宽的新频道的传输容量,以及发送具有多路复用视听内容的应用程序的能力。巴西政府旨在利用新渠道的传输能力,提供为远程学习而创建的节目,从而在绝大多数人口中促进社会包容。这种信息超负荷需要机制来帮助学生浏览和选择最适合其当前水平的教育计划。个性化的推荐系统应运而生,为观众提供与其个人简介相关的教育计划。在本文中,我们提出了一种个性化的推荐系统,即与巴西数字电视系统的参考实现相一致的推荐器。最后,我们介绍了使用提出的系统后获得的结果。

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