A Study of Search Engine Optimization Ranking Change Impact Analysis

• Main Authors: Yi Hsun Huang, 黃怡勳
• Other Authors: Yu-Liang Chen
• Format: Others
• Language: zh-TW
• Published: 2010
• Online Access: http://ndltd.ncl.edu.tw/handle/30155021066891423482

碩士 === 世新大學 === 資訊管理學研究所(含碩專班) === 98 === Search engines have become the most important tools for searching information on the Internet, however, the search results are usually very huge in many pages, and most users find informationno more than three pages. It is obviously the search result shown in the first several pages, the greater the chance to be seen, and the larger the possibility to do e-business. Search engine optimization is defined simply by modifying the structure of web page and it leverages search engine ranking rules to improve page / site ranking in relevant search mode to make pages in search engines for better rankings. E.g., though the Google search engine ranking rule, which was based on Google's founders Larry Page, called PageRank, however, recent research found that, in addition to PageRank, the search engine rules have begun to add more different collation. It has evolved, the search engine ranking rules may be quite a lot of factors to influence the page rank. Therefore, this study concludes that seven possible variables may affect the page rank. The variables are put into the web pages and the changes of the page rank are revealed. First, through the Google Web Management Tool to observe whether the page is indexed. Secondly, the Google AdWords keyword combinations are found in five categories and the keyword combinations are used to observe the changes in page rank. Finally, the Google Analytics is used to observe site visits and other data. The study concludes that among those seven variables, of which six have the ability to progress the page rank. This also explored the changes of CAPTCHA for failing to promote the page rank, but necessary to be added for preventing Web Spam. Finally, the study was proved by Google Analytics to observe the number of visits, page views, the number of pages visitors visit, visitor bounce rate, average visit length, and visitor distribution performance indicators. From the data shown that the seven variables of this study have significant progress of the performance indicators.