Weighted PageRank Algorithm Search Engine Ranking Model for Web Pages

A New Hybrid Method for Web Pages Ranking in Search Engines

There are many algorithms for optimizing the search engine results, ranking takes place according to one or more parameters such as; Backward Links, Forward Links, Content, click through rate and etc. The quality and performance of these algorithms depend on the listed parameters. The ranking is one of the most important components of the search engine that represents the degree of the vitality...

Ranking Web Pages Relevant to Search Keywords

In this paper we propose new methods for ordering the Web pages returned from search engines. Given a few search keywords, nowadays most search engines could retrieve more than a few thousand Web pages. The problem is how to order the retrieved Web pages and then to present the most relevant Web pages first. We propose new factors to allow relevant Web pages to be ranked higher. The factors inc...

Web pages search engine based on DNS

Search engine is main access to the largest information source in this world, Internet. Now Internet is changing every aspect of our life. Information retrieval service may be its most important services. But for common user, internet search service is still far from our expectation, too many unrelated search results, old information, etc. To solve these problems, a new system, search engine ba...

Voting Model for Ranking Web Pages

Adiabatic quantum algorithm for search engine ranking.

We propose an adiabatic quantum algorithm for generating a quantum pure state encoding of the PageRank vector, the most widely used tool in ranking the relative importance of internet pages. We present extensive numerical simulations which provide evidence that this algorithm can prepare the quantum PageRank state in a time which, on average, scales polylogarithmically in the number of web page...