We all have our own circles, and finding out those things is an effective way to create methods for targeting marketing

We all have our own circles, and finding out those things is an effective way to create methods for targeting marketing

Algorithms are collecting and compiling information from the web, and they are trying to connect people to separated groups. The way they are speaking is telling about their attitudes, but also there is a possibility to compile the words, what those people are using. And the words and other kind of things like what kind of things people are using on the Internet are uncovering the social and political environment, where those people are spending their time.

The algorithms are also comparing the data, what they are collecting from the different parts of homepages, and then they are making a profile of the user. They use texts, films and other kind of things for making profiles, and then those algorithms are comparing the profiles together. They are making groups of the users, and in that thing, they are using also the images or recognition photos for making profiles.

Those profiles are used for creating the targeting marketing, what those people would like. And then those algorithms suggest the music and another kind of things, that people would follow and what makes them the interest of products, what those commercials offer to them.

When computers are making profiles, they can use multilevel tasking, and the same person can be a member of different groups of people in the network of social media. The thing is that people can be chosen in the groups of the long-hair men, men with leather west or group of men, who hate women, apples or people who hate Japanese motorbikes".

The idea is to find a common divisor, what connects people together. And that information is vital in the targeted marketing

Those people would like to buy the inch designed tools for the American motorbikes if they own that, and then they would get the targeted commercial. For finding that thing the algorithm would search the images and find things like Harley-Davidson logos. And if they are finding the motorbikes, they can target the marketing of the inch-dimension tools and another kind of things like pistons to those people.

The system would follow, the things how long that person would look at the films, and that would tell what kind of music those persons like, and what kind of videos they are looking at. And then the system would put the person in the group, "person who owns American motorbike and like death metal music".

Those groups can be billions, and when the computer makes the selection, it doesn't care about the groups, where we have joined by our own will. Algorithms would use many things to make that kind of separation. And they will notice if some member of some groups of Social media tells things, what was told in some group to another group.

This kind of people can put in the group "people who share information, which is not meant to share outside the group".  The algorithms are noticing, if the group is closed, and if somebody shares things about that group to some other group, would that thing be noticed by algorithms.