TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly. Search engines have many different algorithms and ranking factors that they use when measuring the quality of webpages. TrustRank is one of them.
TrustRank is an algorithm that conducts link analysis to separate useful webpages from spam and helps search engine rank pages in SERPs (Search Engine Results Pages). It is semi-automated process which means that it needs some human assistance in order to function properly. Search engines have many different algorithms and ranking factors that they use when measuring the quality of webpages. TrustRank is one of them.
Because manual review of the Internet is impractical and very expensive, TrustRank was introduced in order to help achieve this task much more quickly and cheaply. It was first introduced by researchers Zoltan Gyongyi and Hector Garcia-Molina of Stanford University and Jan Pedersen of Yahoo! in their paper "Combating Web Spam with TrustRank" in 2004. Today, this algorithm is a part of major web search engines like Yahoo! and Google.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).