ML10M Data Description – LensKit Codex

Rating Statistics

Ratings	10,000,054
Users	69,878
Items	10,677
Density	1.340%
Item Gini	0.805
Start Date	1995-01-09 11:46:49
End Date	2009-01-05 05:02:16

Item Statistics

This section describes the distribution of various item statistics from the data set.

Item Popularity

What is the distribution of popularity?

Let’s also look at this as a Lorenz curve, for clarity:

We’ll now fit a distribution.

[distfit] >INFO> fit
[distfit] >INFO> transform
[distfit] >INFO> [pareto  ] [0.00 sec] [RSS: 7.12313e-07] [loc=-69.447 scale=70.447]
[distfit] >INFO> [powerlaw] [0.00 sec] [RSS: 2.33376e-05] [loc=1.000 scale=34863.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 3.11358e-05] [loc=1.000 scale=935.598]
[distfit] >INFO> [lognorm ] [0.00 sec] [RSS: 1.30836e-06] [loc=0.711 scale=140.003]
[distfit] >INFO> [pareto  ] [0.01 sec] [RSS: 7.12313e-07] [loc=-69.447 scale=70.447]
[distfit] >INFO> [powerlaw] [0.00 sec] [RSS: 2.33376e-05] [loc=1.000 scale=34863.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 3.11358e-05] [loc=1.000 scale=935.598]
[distfit] >INFO> [lognorm ] [0.00 sec] [RSS: 1.30836e-06] [loc=0.711 scale=140.003]
[distfit] >INFO> Compute confidence intervals [parametric]

Summary of fits:

	name	score	loc	scale	arg
0	pareto	0.000001	-69.446834	70.446834	(0.6740762606466002,)
1	lognorm	0.000001	0.710883	140.003226	(2.121129802044463,)
2	powerlaw	0.000023	1.0	34863.0	(0.1705828118975573,)
3	expon	0.000031	1.0	935.597733	()