Blockmeil: a human-centric recomendation system (I)
(Originally published in Medium)
In this age of social media where a picture, post or out-of-context message can be used to harm a person's life, there is a need for a more transparent approach which is not only human-centric but can also take on the mass hysteria and online bullying a picture might cause. It has been known for a fact that bullying exists in the four major categories such as via text message, email, phone call or picture/video clip etc. Whenever a person become exposed enough to either of this kind of bullying, their mental health is impacted. The idea of bullying comes from when people tend to make fun of a person due to something which they have seen or found against them and in order to make them feel bad, they use different ways to hurt them most of the time mentally. We all have experienced bullying at different points of our lives, some of us has experienced it in School, some of us may have experienced it online. Changing the medium does not change the fact about what the person who is being bullied feels. As one application: if employers, applicants, and recommenders are in the same system, it should be the right of the applicant to stop (block) a damaging, unjustified "recommendation" opinion from an ill-intentioned (or confused) former employer/person. The Blockchain and Artificial Intelligence technologies allow us to have such system, avoiding all kind of awkward situations where the block is completely justified. Of course we will use in the future ML over encrypted data (privacy-preserving classification).
