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authorPaul Mineiro <paul-github@mineiro.com>2013-12-22 09:23:44 +0400
committerPaul Mineiro <paul-github@mineiro.com>2013-12-22 09:23:44 +0400
commit6fca859f04a2b4d327d9c09c98229fa99bbd87e1 (patch)
tree7b999827920aa4cf912bf99ed94906c1d8d0476d /demo
parentc50981a84dd0ff9d10aa70bd4f9122fdb5ee8f24 (diff)
movielens demo
Diffstat (limited to 'demo')
-rwxr-xr-xdemo/movielens/README.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/demo/movielens/README.md b/demo/movielens/README.md
index 89416d3e..9a92d98a 100755
--- a/demo/movielens/README.md
+++ b/demo/movielens/README.md
@@ -2,7 +2,7 @@ Low rank quadratic demo
-------------------------------
This demo shows a low-rank approximation to an interaction design matrix
-for the [movielens-1M][http://files.grouplens.org/papers/ml-10m-README.html]
+for the [movielens-1M](http://files.grouplens.org/papers/ml-10m-README.html)
dataset.
### About Low-Rank Interaction Approximations ###
@@ -17,9 +17,9 @@ in non-recommendation settings, e.g., when the interaction between two
high cardinality categorical variables is desired but the available data
is too sparse to learn a full interaction model.
-There is a great piece of software called [libfm][http://www.libfm.org/]
+There is a great piece of software called [libfm](http://www.libfm.org/)
whose raison d'etre is to fit low-rank approximations to interaction
-designs, and the main author [Steffen Rendle][http://www.kaggle.com/users/25112/steffen-rendle] does quite well on Kaggle. Imitation is the best form
+designs, and the main author [Steffen Rendle](http://www.kaggle.com/users/25112/steffen-rendle) does quite well on Kaggle. Imitation is the best form
of flattery.
### Instructions ###