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Applying an intelligent notification mechanism to blogging systems utilizing a genetic-based information retrieval approach

机译:利用基于遗传的信息检索方法将智能通知机制应用于博客系统

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摘要

Blogging systems have received a lot of attention in recent years due to their wide spectrum of applications. The comment function is a significant part of a blog application, which can be used to gather the readers' feedback and produce social interactions with them. However, most of the existing blogging systems only provide simple comment notification mechanisms for bloggers. Since a popular blog may receive thousands of comments in a short period of time, it is almost impossible for the notification mechanism to inform the blogger about every comment, even meaningful ones. In this paper, we propose a Two-stage Intelligent Notification Mechanism (TINM) for blogging systems to carry out intelligent comment notification, so that the blogger only receives meaningful comments. To reduce the computation cost in the keyword retrieval, a Genetic-based Information Retrieval Approach (GIRA) was designed. Experimental results show that the proposed approach reduces the computation cost during keyword retrieval, and still leads to near optimal results.
机译:博客系统由于其广泛的应用范围,近年来受到了很多关注。评论功能是博客应用程序的重要组成部分,可用于收集读者的反馈并与他们进行社交互动。但是,大多数现有的博客系统仅为博客提供简单的评论通知机制。由于流行的博客可能会在短时间内收到数千条评论,因此通知机制几乎不可能将每条评论(甚至是有意义的评论)通知博客。在本文中,我们提出了一种用于博客系统的两阶段智能通知机制(TINM),以执行智能评论通知,以便博客仅接收有意义的评论。为了降低关键字检索中的计算成本,设计了一种基于遗传的信息检索方法(GIRA)。实验结果表明,该方法降低了关键词检索过程中的计算量,仍然可以达到最佳效果。

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