Automatic production of personalized contents with dynamic scenario

M. Okamoto, J. Kamahara, S. Shimojo, H. Miyahara
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引用次数: 5

Abstract

Recently, the amount of information in the Internet has increased rapidly. Therefore, people on the Internet have come to desire recommendation systems, which can provide only the necessary information for them. In this article, we propose the method to offer the contents, in which the user is interested. Moreover, filtering the contents based on the contents providers' restrictions, the system can distribute the contents, with which both the user and the contents providers are satisfied. When distributing multiple contents at once, we should consider the relations between the contents. In this proposed method, we introduce the idea of the scenario selecting the contents. Processing the scenario template dynamically generates the scenario, which expresses the relations between the contents. Our system provides the contents distribution service, which realizes the personalization and the coordination in the presentations. We carried out the demonstrative experiments on the Internet using our system, which we implemented. In the experiments, it turns out that many users are satisfied with the coordination and the personalization in the presentations. We prove that our proposed method is effective.
具有动态场景的个性化内容自动生成
最近,互联网上的信息量迅速增加。因此,互联网上的人们开始渴望推荐系统,它只能为他们提供必要的信息。在本文中,我们提出了提供用户感兴趣的内容的方法。并根据内容提供者的限制条件对内容进行过滤,实现用户和内容提供者都满意的内容分发。同时分发多个内容时,要考虑内容之间的关系。在该方法中,我们引入了场景选择内容的思想。动态处理场景模板生成场景,场景表达了内容之间的关系。本系统提供内容分发服务,实现了演示文稿的个性化和协调性。我们利用系统在Internet上进行了示范性实验,并实现了该系统。在实验中,许多用户对演示中的协调性和个性化表示满意。实验证明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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