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In this paper, reclassification for the current classification through K-means would be implemented based on the feedback of Web usage mining in order to improve the accuracy of news recommendation and convergence of classification. It could extract most relative keywords and eliminate the disturbance of multi-vocal
rely on indexing web pages so that the information obtained by the tourist is still unfavorable because it only shows a web page with keywords that exist on the article. A support system to recognize tourism places on the web pages is required to produce better information presentation. In this study, the recognition
recognition of the query and the analysis of structure of Web pages. Mutual information (MI) between keywords is used to recognize query phrases; Useful information for the summary is mined from the structure of Web pages. Experimental results show that the improved algorithm performs better in the speed and accuracy of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.