The algorithm is carried out by using Douban ratings as a reference.
(1) the relative objectivity of the Douban rating, China really can not find a more objective platform than the Douban rating, in order to be more objective, all the actors in the last year of the work of the ratings do not do reference.
(2) The Douban rating of a single work does not reflect the acting skills of the actor, the rating 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 whole of the actor's ratings to make samples, which objectively reflects his acting skills.
(3) The algorithm is as follows: an actor all works Douban average score a, the first ten works average score b, (a + b) / 2 = c,
Recognized Mr. Li Xuejian's acting skills are very high, after the calculation of the big data, but also proved that Mr. Li Xuejian's score is very high, we are Mr. Li Xuejian scored a baseline score of 95 points, if the formula above, the Mr. Li Xuejian's score is c0, we can conclude that Mr. Li Xuejian's score is c0, and then we will be able to find a good score. is c0, we can derive the score of an actor as follows:
(c/c0)*100-5
Jiao Huang teacher acting score
Jiao Huang teacher's works, there are only ten scores on Douban.
The lowest score is 7 and the highest is 9.
According to the previous algorithm, we can get Mr. Jiao Huang's acting score of 91.66, ranking 10th on the list of Chinese actor's acting skills.
Limitations and references of the algorithm
The works of Mr. Jiao Huang are a bit small, so the algorithm has some limitations, but it is also a reference for quantifying his acting skills. Just to give you an idea.
If you have a better algorithm, please feel free to discuss