Method and equipment for determining recommendation degree of hyperlink based on recommendation attribute of hyperlink

Abstract

The invention aims to provide a method and equipment for determining the recommendation degree of a hyperlink based on the recommendation attribute of the hyperlink. The method comprises the following steps: acquiring a hyperlink in a page by using hyperlink analyzing equipment; acquiring the recommendation attribute of the hyperlink according to the hyperlink; determining the recommendation degree of the hyperlink through weighting according to the recommendation attribute. Compared with the prior art, the method has the advantages that the result accuracy and the search result ranking quality of page ranking algorithms such as PageRank can be improved and use experience of search users can be enhanced since the recommendation degree of the hyperlink is determined on the basis of the recommendation attribute of the hyperlink in the page.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to a technology for determining the recommendation degree of a hyperlink based on the recommendation attribute of a hyperlink in a page. Background technique [0002] A hyperlink in a page represents a recommendation of the page to the page, or represents a vote. Usually, search engines will calculate the authority of the page based on this recommendation and apply it to the ranking of search results. Typical algorithm Such as PageRank. For the hyperlinks on the same page, the PageRank algorithm usually adopts the method of equal distribution, that is, the authority value of the page transmitted by each hyperlink is equal. However, the recommendation significance of each hyperlink on the same page is different. For example, a news page has a friendship link at the bottom of the page and the news page body reports a website and then attaches its hyperlink. The recommend...

AI Technical Summary

Problems solved by technology

However, when a user clicks a hyperlink, it is usually mainly affected by factors such as the location of the hyperlink, the anchor text, and the context of the hyperlink. Many times, some cheating pages will try their best to attract users to click or point to the page itself. hacking, advertisements, etc.), and the user cannot know before clicking, so the recommendation degree obtained by relying solely on the user’s click behavior may not be accurate enough

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