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

  • Authors:

  • Yong-Ming Huang;Tien-Chi Huang;Yueh-Min Huang

  • Affiliations:

  • Department of Engineering Science, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan, ROC;Department of Engineering Science, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan, ROC;Department of Engineering Science, National Cheng Kung University, No. 1, Ta-Hsueh Road, Tainan 701, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2010

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Abstract

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.