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

作者：

Highlights：

• In this paper, we propose an experimental system at http://hlcs.sytes.net/ltr.

• The time factor can rank the blog topic based on the popularity of the post.

• We can add a few computation time to improve significantly blog search performance.

摘要

•In this paper, we propose an experimental system at http://hlcs.sytes.net/ltr.•The time factor can rank the blog topic based on the popularity of the post.•We can add a few computation time to improve significantly blog search performance.

论文关键词：Blog search,Blog post,Time relationship,Natural language processing,Semantic analysis model

论文评审过程：Received 4 February 2017, Revised 17 July 2017, Accepted 14 August 2017, Available online 19 September 2017, Version of Record 19 September 2017.

论文官网地址：https://doi.org/10.1016/j.ipm.2017.08.001