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An improved search engine page ranking algorithm

The ratio of the () search engine within a week within a month within six months a year in March, Baidu 13.127.738.154.170.3 Google10.725.143.957.072.6 page updated ignore but to return to the user a lot of old information, but also bring other problems, too much is not easy to back up the link (above). This is mainly because the Internet changes all the time, some servers may be closed and some may have expired domain names, and some Web pages may have been deleted. Page Ranking Algorithm 4 homepage sorting algorithm for the above shortcomings, we propose the following improvements: In order for a new page in the search engine returns the result set to have better rankings, we use the web page ranking algorithm PageRank value of all pages or the Authority value, then multiplied by an update of its time factor t. T page of the newer larger, older pages of t small. Also, take into account some cases, such as news or entertainment content categories, users generally want the search to the latest content,[link widoczny dla zalogowanych], then should choose the appropriate t value to be able to better distinguish between old and new web pages. For the site's page load time factor, we can search the results of statistical site performance evaluation or professional bodies, on the PageRank values are multiplied by the value or the Authority of a Web site performance factor P correction. P greater good site for performance, poor performance of the site for P small. The average page on the site load time (or response time), the search engine's database according to their statistics, but also can make use of performance evaluation organization dedicated website for evaluating the results. Based on the above ideas, on the PageRank algorithm,[link widoczny dla zalogowanych], PageRank values we have improved the formula: PR (A) a PR (A) * t (A) * P (A) + C (A) where PR (A) for the use of PageRank Algorithm PageRank calculation of the value of the page, t (A) A page to update time factor, P (A) A page for the site performance factor, C (A) A page for the user to adjust the amount of hits. When users search for information using search engines, the search results will be PR (A) the value of the sort back to the user. The improvement of HITS algorithm, PageRank algorithm and is similar to its output a set of web pages, we will value and the Authority Hub update factor value multiplied by the performance factor P t and site correction. The HITS algorithm is based on the result set of search results other search engines dynamically generated, and thus difficult to achieve the user clicks amendment. Conclusions At present, search engines have become the main functions of the Internet users,[link widoczny dla zalogowanych], one user on the Internet has become the main means of access to information, so the search engine to improve the quality of service to high practical significance. In this paper, the challenges faced by search engines,[link widoczny dla zalogowanych], link analysis of web-based defect sorting algorithm is proposed to consider the performance site, the page updated and improved the user clicks the page ranking algorithm, general-purpose search engine to improve the quality of services there are good reference value, specialized in the design of personalized search engine should also be considered.
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