ML25M Data Description – LensKit Codex

Rating Statistics

Ratings	25,000,095
Users	162,541
Items	59,047
Density	0.260%
Item Gini	0.942
Start Date	1995-01-09 11:46:49
End Date	2019-11-21 09:15:03

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: 0.0014061] [loc=0.724 scale=0.276]
[distfit] >INFO> [powerlaw] [0.03 sec] [RSS: 0.0260556] [loc=1.000 scale=81490.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 0.0387328] [loc=1.000 scale=422.393]
[distfit] >INFO> [lognorm ] [0.04 sec] [RSS: 0.0284515] [loc=1.000 scale=0.018]
[distfit] >INFO> [pareto  ] [0.08 sec] [RSS: 0.0014061] [loc=0.724 scale=0.276]
[distfit] >INFO> [powerlaw] [0.08 sec] [RSS: 0.0260556] [loc=1.000 scale=81490.000]
[distfit] >INFO> [expon   ] [0.05 sec] [RSS: 0.0387328] [loc=1.000 scale=422.393]
[distfit] >INFO> [lognorm ] [0.05 sec] [RSS: 0.0284515] [loc=1.000 scale=0.018]
[distfit] >INFO> Compute confidence intervals [parametric]

Summary of fits:

	name	score	loc	scale	arg
0	pareto	0.001406	0.723982	0.276018	(0.2952394038198274,)
1	powerlaw	0.026056	1.0	81490.0	(0.06472845159552398,)
2	lognorm	0.028452	1.0	0.017952	(14.878224081976702,)
3	expon	0.038733	1.0	422.393144	()