I made this point below about inability to provide context. In the other thread link, I think I provided why,. although I am no machine learning specialist but I think because:<p>Google can never necessarily know what you want and can never truly know you achieved your goal, so you could not train it properly.<p>Not only would you need to discover what profession I am in, assuming you had fully updated linked profile, etc. you would need to build a comparable universe of like minded people and calibrate.<p>Then, you would have to assume what inputs are similar in that they have same&#x2F;similar parameters and expect similar results.<p>Then you would have to assume which link I clicked was the answer, for every person who did this same thing.<p>Then you would have to discount your bias as an engine, because you provide the top results to me and (for now) people trust the engine so they typically have a false choice of the first 5-10 things. If those 5-10 things are wrong, whole model is in error to extent it is wrong.<p>Any one of these would provide error and the cascade leads to larger disparity. Google IS SO AMAZINGLY GOOD, it has actually managed to make this not a problem for a <i>very</i> long time.