ft_small: filmtrust small dataset
In talegari/slimrec: Sparse Linear Method to Predict Ratings and Top-N Recommendations
Description
filmtrust small dataset
Usage
1
Format
A sparse matrix of class dgCMatrix with 100 users and 1000
items. A (i,j) th element is 1 only if user i has rated item j. A (i,j) th
element is zero if there is no rating value. There are 7780 ratings (
sparsity = 0.778 ). This is a simply ft_implicit[1:100,1:1000].
Source: librec
datasets
talegari/slimrec documentation built on May 31, 2019, 2:51 a.m.
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Description
filmtrust small dataset
Usage
1 |
Format
A sparse matrix of class dgCMatrix with 100 users and 1000
items. A (i,j) th element is 1 only if user i has rated item j. A (i,j) th
element is zero if there is no rating value. There are 7780 ratings (
sparsity = 0.778 ). This is a simply ft_implicit[1:100,1:1000].
Source: librec
datasets
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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