Research of intelligent professional search engine based on agent
by Guoxia Yang; Xia Yang; Wei Hao
International Journal of Computer Applications in Technology (IJCAT), Vol. 57, No. 2, 2018

Abstract: Owing to the increasing growth of network information, users cannot quickly query. Especially for professional information, the query time needed is longer. In order to improve precision of the professional search engine, after analysing the meta-search engine technology, combined the rtf algorithm and the PageRank algorithm, an improved fusion algorithm of search results based on PageRank is proposed, which can query according to the synonym and the relevant word. The algorithm was applied to the search engine for coal geology, and the experimental results showed it can fuse the independent search engine results together to some degree, and increase the precision and the recall ratio of professional engine.

Online publication date: Thu, 10-May-2018

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