Google may weight all of the entity information it has and offer what it considers to be the most relevant reviews to me. For example, let's take a look at a Mexican restaurant and look at a few features that Google might pick up if I were personally searching. Some of my main features include: Male 40 years Has rated Mexican restaurants favorably Wrote and noted many places Lives in Victoria, Canada Reviewed and rated various restaurants with average to higher prices Armed with this data, Google is going to know that when I'm looking for a
Mexican restaurant in a new city, the rating given by a middle-aged person who tends to like good food and is willing to pay for it is going to be much more relevant. than the opinion of a student who tends to find cheaper places to save money. Both may give jewelry retouching service a five-star review in different places, but what they recommend doesn't apply to me equally - and therefore their impact on reviews and the weight they convey to an entity needs to be adjusted . Similarly, if both have reviewed the same
restaurant and if that restaurant is known to have a higher price range, the review of which one is known to visit and the more expensive locations should be weighted higher than the rating from someone who might have their opinion skewed by feeling the price is too high (or they weight it more because they paid more, not because it's really good). Step forward a bit in the evolution of the journal, and these variables will appear in an equation that would look something like: Rating Weight Adjustment = Gender * V + Age * W + Rated Mexican * X +