Title :
Research and Analysis of Search Engine Optimization Factors Based on Reverse Engineeing
Author :
Zhu, Cen ; Wu, Guixing
Author_Institution :
Sch. of Software Eng., USTC, Suzhou, China
Abstract :
Search engine optimization (SEO) is a process of improving the prominence of a website. Following a reverse engineering approach, in this paper, we study and analyze the key influence factors in the process of web search. We firstly build a system to automatically crawl all factors of 200 thousand web pages. Then we make a content analysis including Page Rank, URL and HTML analysis based on top 20 positions of Google search result pages. Finally we derive top five factors for search engine optimization. It turns out that although SEO factors vary for different websites, the core SEO factors are similar. Therefore, in the common SEO, it is enough to focus on these core factors.
Keywords :
Internet; Web sites; optimisation; reverse engineering; search engines; Google search; HTML; Page Rank; SEO; URL; Web pages; Web search process; Web site; content analysis; reverse engineeing; search engine optimization factors; Google; HTML; Indexing; Optimization; Search engines; Web pages; Web search; Google; content analysis; keyword; reverse engineering; search engine optimization;
Conference_Titel :
Multimedia Information Networking and Security (MINES), 2011 Third International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-1795-6
DOI :
10.1109/MINES.2011.99
