Computer Science ›› 2017, Vol. 44 ›› Issue (10): 234-236.doi: 10.11896/j.issn.1002-137X.2017.10.042

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Research on Member Search Engine Selection in Meta Search

LIU Deng-hong and XU Xian   

  • Online:2018-12-01 Published:2018-12-01

Abstract: With the popularity of network,searching online becomes the main way to get information.Compared to independent search engine usually with limited coverage,meta search engine can meet the needs of information retrieval in a better way.When a query is input in the unified interface provided by meta search,it first processes the query and then sends it to appropriate member search engines.An important problem is how to find the underlying search engines which can optimally reply to the user query.In this paper,we proposed a mechanism based on genetic algorithm,which also takes the weight of each member search engine into account.The experimental results show that our method can indeed improve efficiency and accuracy on engine selection.

Key words: Meta search,Query,Engine selection

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