Search engines are huge power factors on the Web, guiding people to information and services. Google is the most successful search engine in recent years,his research results are very complete and precise. When Google was an early research project at Stanford, several articles have been written describing the underlying algorithms. The dominant algorithm has been called PageRank and is still the key to providing accurate rankings for search results. A key feature of web search engines is sorting results associated with a query in order of importance or relevance. We present a model allowing to define a quantification of this concept (Pagerank) a priori fuzzy and elements of formalization for the numerical resolution of the problem. We begin with a natural first approach unsatisfactory in some cases. A refinement of the algorithm is introduced to improve the results.
Comments: 27 Pages.
[v1] 2018-06-16 20:42:30
Unique-IP document downloads: 231 times
Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.