Fig. 1
From: Recommendation algorithm based on user score probability and project type
Example of user behavior. User A loves to watch action movies, but does not love science fiction and comedy movies. User A finds a movie called “IP MAN” in the action movie category. After watching it, user A feels that the clarity of the picture is not good, so he gives the film a low score. If user A does not like the action movie, he will not see this category of movies. The traditional collaborative filter considers that as long as the user gives a low score that users do not like this type of film, but the fact is that if the user does not like a film, users will not pay attention to this type, let alone watch and score