An effective LDA-based time topic model to improve blog search performance

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.