In this paper, secondary development was conducted on the search system of one e-government website by adding the log mining module, behavioral analysis module and system improvement module, to improve the search quality and optimize website content. Log mining, processing and analysis of user behaviors have been achieved in the improved search system. The log mining module is able to record, filter and identify the query log. The behavioral analysis module analyzes the characteristics and rules of user behaviors from three aspects including the query process, clustering analysis and hotspot query words, and obtains the results of weights of the webpage and hotspot query words. The system improvement module makes the query results more precise, provides new function of search hotspot and personalized webpage, improves the content of e-government website, and exchanges the data with public opinion system. In this way, the search system and e-government websites will provide users with better service.
YE Xiaorong
,
SHAO Qing
. Log mining, behavioral analysis and improvement of government website search system[J]. Science & Technology Review, 2015
, 33(11)
: 94
-102
.
DOI: 10.3981/j.issn.1000-7857.2015.11.017
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