摘要： 针对目前全文搜索引擎中存在的查准率较低、不能充分满足专业用户对搜索引擎的搜索需求的问题，设计一种基于元搜索技术的垂直搜索引擎系统结构。利用关联规则挖掘用户关注度较高的信息，提取这些信息中与关键词相关的隐形关键词，并用于扩展搜索。设计基于多关键词组搜索的改进的元搜索引擎位置排序算法。实验结果表明，与以前搜索引擎系统相比，该系统的专业相关度有了一定提高。
关键词:
元搜索,
垂直搜索,
结果排序,
隐形关键词
Abstract: Aiming at the problem that the full-text search engine is confronted with the low-recall ratio at present, it can not meet the needs of professional users adequately, this paper presents the system structure of the vertical search engine which is based on the meta-search technology. It uses association rules to excavate the high-attention rate information and fetches the invisible key words which are related with the key words, this can be used in extended search. The position-ranking arithmetic which is based on the meta-search is improved, it is fit for the results sorting which uses the multi-key words. Experimental results show that the search engine system has definite improvement.
Key words:
meta-search,
vertical search,
result sorting,
invisible key words
中图分类号:
王新, 刘晓霞. 基于关联规则挖掘的垂直元搜索引擎研究[J]. 计算机工程, 2011, 37(4): 76-77.
WANG Xin, LIU Xiao-Xia. Research on Vertical Meta-search Engine Based on Association Rule Mining[J]. Computer Engineering, 2011, 37(4): 76-77.