How to make better use of Google's trust index in website construction?

Because Google's search engine relies heavily on links when calculating page rankings, it has gradually formed the Google Page rank, but relying solely on PR has been challenged by various cheating behaviors. Google Trust Rank uses a semi manual method. Through experts from Google or some other retrieval institutions, first determine the Trust Rank value of a batch of sites, then determine the Trust Rank value of other sites on the Internet through the analysis of the link structure of the machine, and then take the high and low of the Trust Rank value as an important basis for page ranking. Trust rank is a link analysis technology related to Page rank, which is used to distinguish the links from Spam and the real praise brought by high-quality content. Its calculation basis is that most excellent files rarely link to Spam. The trust rank is processed in two steps: source target selection and score transmission. The Trust rank of a hyperlink file is used to evaluate whether it is truly authoritative. Similar to the PR value principle, if other sites get connections from sites with high trust rank values, they will also get higher trust rank values. As a quasi substitute for PR, the importance of Google Trust rank is self-evident, even exceeding the role of PR value. Therefore, the existence of Trust Rank should never be ignored.

(Google search engine website construction)

Google Trust Rank, translated from Google Trust Index, is an index of Google's trust in websites. The trust value of search engines is to ensure that high-quality sites can get the first attention of search engines, and ensure the priority of originality, so as to ensure that good websites can obtain higher search performance. Google's own earliest discussion on Trust rank: "Junk pages often use various cheating methods to obtain a good search engine ranking. Although it is easy to identify these junk manually, the problem is that so many pages cannot be completed manually, so we have proposed our latest semi-automatic technical solutions. Let's first ask our experts to select some good sample pages, then analyze their link structure and compare other pages with this structure, and then find those pages that are not likely to cheat. We discussed several sample selection schemes and how to find high-quality pages. We used Altavista to carry out experiments on the Internet and evaluate the effect of our technology. The results show that we can identify junk pages through a small number of high-quality websites on the Internet. Of course, the number of these high-quality sample websites should not be less than 200. "