The PageRank score of a webpage corresponds to an entry of the PageRank vector,
π.
Since π is a probability distribution vector, all elements of π are nonnegative and sum to one.
Google’s toolbar includes a PageRank display feature that provides “an indication of the PageRank” for a webpage being visited.
The PageRank scores on the toolbar are integer values from 0 (lowest) to 10 (highest).
| Although PageRank is an important component of Google’s overall ranking of results, it is not the only component. |
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Traditional search engines rely heavily on how often a word appears on a web page. Google uses more than 200 signals, including its PageRank algorithm, to examine the entire link structure of the web and determine which pages are most important. It then conducts hypertext-matching analysis to determine which pages are relevant to the specific search being conducted. By combining overall importance and query-specific relevance, they’re able to put the most relevant and reliable results first.
- PageRank technology: PageRank reflects Google’s view of the importance of web pages by considering more than 500 million variables and 2 billion terms.
- Hypertext-matching analysis: Google also analyzes page content. However, instead of simply scanning for page-based text (which can be manipulated by site publishers through meta-tags), its technology analyzes the full content of a page and factors in fonts, subdivisions and the precise location of each word. They also analyze the content of neighboring web pages to ensure the results returned are the most relevant to a user’s query.
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Passing this quiz will be like shooting fish in a barrel (very easy). I have studied a lot. |