Research and Analysis of Search Engine Optimization Factors Based on Reverse Engineeing

Research and Analysis of Search Engine Optimization Factors Based on Reverse Engineeing

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 w...

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Hauptverfasser: Cen Zhu, Guixing Wu
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Sprache:eng
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content analysis
Google
HTML
Indexing
keyword
Optimization
reverse engineering
search engine optimization
Search engines
Web pages
Web search
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Guixing Wu
description 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.
doi_str_mv 10.1109/MINES.2011.99
format Conference Proceeding
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects content analysis
Google
HTML
Indexing
keyword
Optimization
reverse engineering
search engine optimization
Search engines
Web pages
Web search
title Research and Analysis of Search Engine Optimization Factors Based on Reverse Engineeing
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