Evaluation Significance Of Website's Subject Catalog

As the rapid development of Internet/Intranet technique, Internet information increases dramatically. How to evaluate the quality and value of Internet information resource becomes an urgent task in order to use it more effective. Nowadays, researchers have given evaluation target, indicator and method. There are a lot of researches focused on kinds of specific Internet resources as well, that evaluation of technicality websites artificial, of web pages'significance based on link analysis using PageRank and HITS algorithms and the appraisal of web blocks partitioned from web page using machine learning algorithm. But web portals organize their pages according to web subject and all offer a large number of subject classified information. Subject catalogues are vital part of web portals and the importance of each other are different. So, a way is proposed to evaluate the significance of web site subject catalogues automatically in our paper.The quantitative method is used to evaluate subject catalogues on all indicators including quantity of pages, update rate of pages per month and mean of all page's significance in each subject catalogue. After all the indicators quantized, the evaluation result is sorted according to the value of quantized indicators from big to small.In the paper, firstly the algorithm is proposed to extract web site subject catalogue automatically, and then is how to integrate subject catalog. Finally the web site subject catalogues are evaluated according to the indicators. Usually, the navigation links of portal website's homepage can give lots of catalogue information, but they have relation of including and include lots of links for advertisement. So, we have to distinguish recapitulative and significant links from navigation links as web site subject catalog and the others must be combined into. On the website subject catalog integrating the key insight is that many of the web pages have their own categorization from navigation links'subject, and accuracy of web pages classified into subject catalogues can be improved by factoring in the implicit information in the source categorization. At last, the subject catalogues with their pages are evaluated according to the indicators.In addition, the paper uses evaluation criterion on sorting the result documents...