For a product P1, there are multiple reviewers: R1, ..., Rn (with corresponding reviewer Quality of Q1, ..., Qn). How should I mathematically combine the Scores (S1, ..., Sn) provided by all the Reviewers to come up with a final quality score?
Note: Reviewer ratings and Quality
What I have so far:
Final Quality Score = Sum(Qi * Si)/n
Is this correct? Are there other approaches to doing this?
It appears to me that Ensemble learning is the way to go for such a problem. I don't know how it works exactly, so, if anyone has better alternatives, please recommend.