| Search engines are playing more and more important role in the modern network with the expanding of network scales, and the core of search engines - ranking algorithm is having a tremendous impact on the aspect of network competition justice.At the same time, the fact that articles on the network can be easily copied puts the original sites in a very unfavorable position in network competition. Improving search engine rank of original articles not only undoubtedly makes modern network competition fairer but also has very important practical significance and social benefits.This paper presents a new ranking algorithm which is fit for professional search engine and the algorithm gives priority to original articles and promotes the search rank of original articles and contributes to the development of new original websites.Therefore, justice is enhanced in the social competition of modern network.Main work is as follows:①Analyze the existing search engine ranking algorithms, compare their strong and weak points and point out their negative impact to original articles, raise the thinking that improving search engine rank of original articles by modifying the search engine ranking algorithm to make the search engines more fair and reasonable.②Construct an algorithm to find out the original article, and quantify all the articles' possibilities of originality through the visible network information.③Describe how to use the original articles' judging algorithm in the search engine, point out how to use judgment results of the original articles to modify the original search engine ranking result.④Use the method of keyword relation evaluation, the PageRank algorithm and the judgment algorithm of original articles to construct the integrated ranking model of search engine, making it can be used in the practical search engine.⑤Construct a prototype system, use search engine ranking model to improve the search engine rank of network original articles, and the results turns out good. |
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