Post by account_disabled on Mar 10, 2024 19:58:39 GMT -7
We cannot exclude the fact that RankBrain utilizes search entities in order to find the most probable and correct answers to a neverbeforeseen query then uses the probability score as a qualitative metric in order to offer reasonable substantive SERPs to the querying user. The biggest advancement with RankBrain though is in how it deals with the quantity of content it analyzes in order to create the vectors. It seems bigger than the classic link anchor text and surrounding text that we always considered when discussing for instance how the Link Graph works.
There is a patent filed by Google that cites one of the Europe Cell Phone Number List AI experts cited by Greg Corrado Thomas Strohmann as an author. In that patent very well explained again by Bill Slawski in this post on Gofishdigital is described a process through which Google can discover potential meanings for nonunderstandable queries. context and concepts and the fact that RankBrain uses vectors again vast amounts of written language embedded into mathematical entities. This is likely because those vectors are needed to secure a higher probability of understanding context and detecting alreadyknown concepts thus resulting in a higher probability of positively matching those unknown concepts its trying to understand in the query.
Speculating about RankBrain As the section title says now I enter in the most speculative part of this post. What I wrote before though it may also be considered speculation has the distinct possibility of being true. What I am going to write now may or may not be true so please take it with a grain of salt. DeepMind and Google Search In Google acquired a company specialized in learning systems called DeepMind. I cannot help but consider that some of its technology and the evolutions of its technologies are used by Google for improving its search algorithm hence the machine learning process of RankBrain.
There is a patent filed by Google that cites one of the Europe Cell Phone Number List AI experts cited by Greg Corrado Thomas Strohmann as an author. In that patent very well explained again by Bill Slawski in this post on Gofishdigital is described a process through which Google can discover potential meanings for nonunderstandable queries. context and concepts and the fact that RankBrain uses vectors again vast amounts of written language embedded into mathematical entities. This is likely because those vectors are needed to secure a higher probability of understanding context and detecting alreadyknown concepts thus resulting in a higher probability of positively matching those unknown concepts its trying to understand in the query.
Speculating about RankBrain As the section title says now I enter in the most speculative part of this post. What I wrote before though it may also be considered speculation has the distinct possibility of being true. What I am going to write now may or may not be true so please take it with a grain of salt. DeepMind and Google Search In Google acquired a company specialized in learning systems called DeepMind. I cannot help but consider that some of its technology and the evolutions of its technologies are used by Google for improving its search algorithm hence the machine learning process of RankBrain.