The articles I read this as posted in the class folder has an interesting issue that is currently being resolved if not need to be addressed based on our web surfing, whether it be using smart phones or laptops, tablets etc.
Let me bring up the classic example of Pandora, an online music streaming service app that brings you close to this realization. This app atleast on the surface appears that it has trained itself to figure out what your music likings are. Similarly, based on my professional content viewing, the emails I get have changed over time from my previous job to the current one using my viewing pattern.
All this is reflected in the all math concept introduced by Google about 15 years back labeled as the numerati. The challenge is that achieving perfection is almost impossible beacuse this involves a lot of behaviorial topics which is highly non-linear. This means that putting together mathematical models is tremendously challenging, if not very difficult and daunting. For the internet to guess what your next mood pattern will be is highly nontrivial. Using past data will give one more noise from statistical analysis because of the multi-variable non linear behaviour.
At a professional level, companies like IBM, SAP are coming up with their decision making corporate level engines that are coined as analytics. These are relatively easier to tackle considering fewer constraints compared to an individual.
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