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Recommender System for Movielens Datasets using an Item-based Collaborative Filtering in Python

International Journal of Mathematical, Engineering, Biological and Applied Computing | Vol 1, Issue 1

Table 1. Movielensdatasets – ML-100K and ML-1M

 

ML-100K

ML-1M

Number of users

943

6,040

Number of movies

1,682

3,952

Number of ratings

100,000

1,000,209

Number of all genres

19

18

Average number of genres

1.7

1.6

Rating scales

1-5

1-5