The algorithm is based on Douban score. The following points need to be explained:
(1) Douban score is objective. China really can't find a more objective platform than Douban scoring. In order to be more objective, all the actors' scores in the past year are not referenced.
(2) Douban score of a single work can't reflect the actor's acting skills. The score of a work has a lot to do with the director, screenwriter and so on, but the actor is an extremely important part of a work. We use the overall scores of all actors' works as samples, which can objectively reflect their acting skills.
(3) The algorithm is as follows: All the works of an actor get an average of A, and the top ten works get an average of B, (a+b)/2=c,
It is recognized that Li's acting skills are very high. After big data calculation, it also proves that Li's score is very high. According to Li's score, we got 95 points. If Li's score is c0 in the above formula, we can get an actor's score as follows:
(c/c0)* 100-5
Teacher Jiao Huang's acting score
Only ten of Jiao Huang's works have been rated on Douban.
The lowest score is 7, and the highest score is 9.
According to the previous algorithm, we can get that Jiao Huang's acting score is 9 1.66, ranking 10 in the list of actors in China.
Limitation and reference of algorithm
Jiao Huang's works are a little less, and the algorithm has certain limitations in judging, but it also has certain reference function for quantitative acting. Just give you an idea.
If you have a better algorithm, welcome to discuss.