一种基于用户兴趣的搜索引擎输入信息处理方法

A New Importation of Information Processing Methods Based on User Interested

搜索引擎是互联网普及的标志,目前搜索引擎在查全率和准确率上是不能让用户满意的,如何使用户获得有用的信息已成为信息检索系统急需解决的问题。文章主要对用户个性化搜索引擎系统进行了研究,提出了一种基于用户兴趣的搜索引擎信息处理方法。首先对系统各模块的功能进行了详细的研究和介绍,然后具体介绍了输入信息处理方法流程及相关技术的研究。实验结果表明,通过对输入信息进行了关键词处理后,可以有效的提高对用户所需信息的理解的准确率,从而提高搜索引擎的查全率和准确率,具有一定的理论价值和应用价值。

The search engine is the Intemet popular symbol, at present the search engine cannot let the user being satisfied in the recall and the rate of accuracy, the question how to cause the user to obtain the useful information becomes urgently for the information retrieval system .This article mainly conducts the research of the user personalization search engine system, proposed one kind search engine information processing method based on the user interest. Firstly, the article has conducted the detailed research of the system various modules＇ function and introduced then introduces the inputed information processing method flow and the correlation technique research specifically. The experimental result indicated that through carryingon key word processing after the inputed infomaation, may be effective enhancement to the user need the information and the understanding rate of accuracy, thus raises search engine＇s recall and the rate of accuracy, has certain theory value and the application value.