the reviewers themselves are considering entities. In this area, we are only just beginning to see the first implementations of Factoring Reviewer Entity Status in, but this will move forward dramatically in the months and years to come. At this point, you might be wondering what I'm referring to regarding review entity status. Good questions, hypothetical you! As reported last week, Google has changed the way they display hotel reviews on mobile to look like: Google hotel reviews The key element here is information relating to the type of visitor (eg families, couples). This requires considering entity information related to
the reviewer and adjusting specific review scores accordingly. So let's see how this fits into our graph: Acme business entity with reviewer connections jewelry retouching service This is extremely limited in scope to only include the number of reviews a person has taken and their marital status - in reality there would be dozens or hundreds of different connections. However, with this limited example, we can see that if the researcher is married, they are most likely enjoying their experience with Acme Business Entity, whereas a single person might not.
These are the types of entity metric expressions we currently see in hotel reviews, but let's jump ahead a bit. Dave and Bill have also done a lot of reviews over Jane's 2, indicating that they are less likely to be spammers and understand how the review system works. Inevitably, other areas of their own entity settings will be considered, such as their other reviews and ratings, age, location, etc., and many of these will invisibly influence the rating system. The idea that the algorithm will be adjusted to weight reviews from people with similar