Research on Vertical Meta-search Engine Based on Association Rule Mining
Xiaoxia Liu · Jisuanji gongcheng · 2011
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 Keywords which are related with the keywords,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.