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The semantic analysis model is widely used to analyze the various semantic relationships that may arise in the document. In this article, the authors propose a new semantic analysis model to find possible time relationships between posts. The main contribution of this paper has two points: first is that this paper builds a high-performance search system that considers the discussion topic and updated time between posts; second, is that the authors consider the time relationships between posts that can rank the relevant blog topics based on the popularity of the posts.<\/jats:p>","DOI":"10.4018\/ijswis.2019010103","type":"journal-article","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T17:49:35Z","timestamp":1540316975000},"page":"52-75","source":"Crossref","is-referenced-by-count":2,"title":["Based on The Document-Link and Time-Clue Relationships Between Blog Posts to Improve the Performance of Google Blog Search"],"prefix":"10.4018","volume":"15","author":[{"given":"Lin-Chih","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Information Management, National Dong Hwa University, Hualien County, Taiwan"}]}],"member":"2432","reference":[{"key":"IJSWIS.2019010103-0","author":"R.Baeza-Yates","year":"1999","journal-title":"Modern Information Retrieval"},{"issue":"1","key":"IJSWIS.2019010103-1","first-page":"993","article-title":"Latent dirichlet allocation.","volume":"3","author":"D. 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