Custom Rating System, Data Collection & Modeling
Today’s rating systems utilize pre-defined criteria, ‘likes’ or ‘stars’ count, which are supposed to mean the same to everyone. However, people’s cultural contexts and lives are much more complex than that, therefore, those ‘one-size-fits-all’ schemes can’t accurately measure the true opinion about a heterogeneous and multiplexed question.