Once all these posts have been filtered, the filtering process begins: this is where it is determined which posts comply with Facebook's policies, eliminating all those that do not comply with these conditions. These posts would include those that spread false information, those that present sensitive content and so-called clickbaits .
At this point we already have a smaller number of posts, around 500. However, there is still work to be done, since although all of them may be similar to the user's taste, not all of them are equally relevant. Therefore, before india business email database reaching the contextual step, which would be the result that the user sees, we have the following point.
Scoring pass
Next is the scoring pass where most of the personalization happens. Here, a score for each story is calculated independently, and then the 500 posts are sorted by score. For some, the score may be higher for likes than for comments , as some people like to express themselves more through likes than comments . Any action that a person rarely engages in (e.g. a prediction of liking that is very close to zero) automatically gets a minimal role in the ranking, as the predicted value is very low.