Question

I need help designing an algorithm for recommendations on movies.

Every user in the system grades movies on a score between 1-100.

Tables consist of:

Table Movies
ID    Name    Year    Rating    Runtime

Table Con_MoviesToGenres
MovieID    GenreID

Table Con_MovieToUser
MovieID    UserID    Grade

I’m trying to build a SELECT query to return 5 most recommended movies for a specific movie.

Bearing in mind, I want to integrate in some way, similar genres, highest grades & movie Rating (so you want be recommended an R rated movie for a PG rated movie, unless it’s really recommended in every other aspect). Also, if movie matches more than one genre, it will increase its recommendation ratio.

Bonus: If a user gives a low grade to a movie -> it will lose recommendation ratio.

Update:
I meant for one user and one title. Whenever a user enters a “movie page” – he will get recommendations for other movies he might like.

Answer 1

You are late the contest is over.

But its fun.

You will have to look into some fancy math (oh I love all this)

1. Linear Algebra
2. Statistics
3. Artificial Intelligence
4. Graph Theory

Articles:

5. Item-based Collaborative Filtering Recommendation Algorithms (1424 citations)
6. TANGENT: A Novel, “Surprise-me”, Recommendation Algorithm
7. What is a Good Recommendation Algorithm? – HackerNews
8. Tony Phillips’ Take on Math in the Media
9. We Recommend a Singular Value Decomposition
10. Netflix prize tribute: Recommendation algorithm in Python
11. Studying Recommendation Algorithms by Graph Analysis