ML32M Data Description

Rating Statistics

Ratings	32,000,204
Users	200,948
Items	84,432
Density	0.189%
Item Gini	0.952
Start Date	1995-01-09 11:46:44
End Date	2023-10-13 02:29:07

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  ] [0.02 sec] [RSS: 0.118345] [loc=-274877906943.000 scale=274877906944.000]
[distfit] >INFO> [powerlaw] [0.04 sec] [RSS: 0.082944] [loc=1.000 scale=102928.000]
[distfit] >INFO> [expon   ] [0.00 sec] [RSS: 0.118345] [loc=1.000 scale=378.006]
[distfit] >INFO> [lognorm ] [0.07 sec] [RSS: 0.0897844] [loc=1.000 scale=0.003]
[distfit] >INFO> [pareto  ] [0.14 sec] [RSS: 0.118345] [loc=-274877906943.000 scale=274877906944.000]
[distfit] >INFO> [powerlaw] [0.11 sec] [RSS: 0.082944] [loc=1.000 scale=102928.000]
[distfit] >INFO> [expon   ] [0.07 sec] [RSS: 0.118345] [loc=1.000 scale=378.006]
[distfit] >INFO> [lognorm ] [0.07 sec] [RSS: 0.0897844] [loc=1.000 scale=0.003]
[distfit] >INFO> Compute confidence intervals [parametric]

Summary of fits:

	name	score	loc	scale	arg
0	powerlaw	0.082944	1.0	102928.0	(0.056833035526703206,)
1	lognorm	0.089784	1.0	0.002737	(16.154555552357085,)
2	expon	0.118345	1.0	378.005638	()
3	pareto	0.118345	-274877906943.0	274877906943.999969	(727179408.5263965,)