一种基于概念抽取的相关词推荐模型

A Similar Terms Recommending Model Based on Concepts Extraction

搜索引擎已经成为Internet上非常有用的信息检索工具,而查询关键词的质量则是影响搜索效果的最重要的因素之一。相关词推荐技术可以通过向用户提供高质量的查询词,帮助用户缩小查询范围,提高搜索结果的查准率。文章提出一种新的基于概念抽取的相关词推荐模型,该模型克服了传统相关词推荐模型的一些不足,提供精确度更高的相关词作为二次搜索关键词,使信息搜索达到更好的效果。

The Web search engine is very useful information retrieval tool on Internet. The quality of keywords is one of the most important factors that affect the quality of search results. The similar terms recommending model can help users to reduce the search range and can increase the recall of search results by giving high quality keywords. This paper describes a new similar terms recommending model based on concepts extraction, which covers the shortage of existent models. It provides more accurate similar terms as keywords to improve the retrieval effectiveness.