Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4966388 | Information Processing & Management | 2017 | 21 Pages |
Abstract
In this paper, we first use some well-known semantic analysis models to analyze the performance of the blog search. Next, we consider the time relationship between posts to further improve its performance. Finally, we provide some experiments to simulate various possible scenarios to confirm the effectiveness of this relationship. The contributions of this paper are twofold. One is that we build a high-performance system that considers the importance of blog topics at different times. The other is that we consider the time relationship between posts, which can rank the relevant blog topics based on the popularity of the posts.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Lin-Chih Chen,