基于概念图的用户兴趣查询扩展模型的研究

Query expansion model of users' profile based on conceptual graphs

查询扩展是信息检索技术研究的一个重要组成部分。目前的查询扩展是基于统一的用户模型,没有考虑到用户的个人兴趣,这对查询扩展的精确度造成了一定的影响。分析了产生这种问题的原因,提出了基于概念图的用户兴趣扩展模型,通过该模型来有效提高查询扩展的精确度。实验显示,该方法能有效提高查询的查全率和查准率。

Query expansion is an important part of information retrieval systems.Neglection of user＇ profile influent the precision and recall of information retrieval in unity model,the reason resulting in the problem is analyzed and the idea of a query expansion model of user＇ profile based on conceptual graphs.Experiments show that the new idea can improve the precision and recall of information retrieval effectively compared with convention ones.