SLIM - Revision history

Zeno Gantner at 11:11, 4 April 2013

2013-04-04T11:11:19Z

Zeno Gantner: wikify

2013-04-04T11:09:30Z

wikify

Ningx005 at 22:05, 3 April 2013

2013-04-03T22:05:31Z

Ningx005 at 22:04, 3 April 2013

2013-04-03T22:04:15Z

Ningx005 at 22:03, 3 April 2013

2013-04-03T22:03:03Z

Ningx005 at 22:02, 3 April 2013

2013-04-03T22:02:34Z

Ningx005 at 21:59, 3 April 2013

2013-04-03T21:59:24Z

Ningx005: Created page with "SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest ..."

2013-04-03T19:29:30Z

Created page with "SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest ..."

New page

SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in [SUGGEST][http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.

The SLIM library can be downloaded from here[http://www-users.cs.umn.edu/~xning/slim/html/].

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-'''SLIM''' is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in [http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview SUGGEST], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.
+'''SLIM''' is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based [[nearest neighbor]] [[collaborative filtering]] approaches implemented in [http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview SUGGEST], and use the historical information to learn a sparse [[similarity matrix]] by combining an [[L2]] and L1 [[regularization]] approach.
 == Literature ==
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-[[Category:Software]]
+[[Category: Software]]

@@ Line 1: / Line 1: @@
-SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in [http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview SUGGEST], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.
+'''SLIM''' is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in [http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview SUGGEST], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.
 The SLIM library can be downloaded from [http://www-users.cs.umn.edu/~xning/slim/html/ here].
@@ Line 5: / Line 5: @@
 == Literature ==
-[http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067 SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011]
+* [http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067 SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM, 2011]
 == External links ==

← Older revision		Revision as of 22:05, 3 April 2013
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−	SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in ~~[SUGGEST]~~[http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.	+	SLIM is a library that implements a set of top-N recommendation methods based on sparse linear models. These models are a generalization to the traditional item-based nearest neighbor collaborative filtering approaches implemented in [http://glaros.dtc.umn.edu/gkhome/slim/overview?q=suggest/overview SUGGEST], and use the historical information to learn a sparse similarity matrix by combining an L2 and L1 regularization approach.

−	The SLIM library can be downloaded from ~~here~~[http://www-users.cs.umn.edu/~xning/slim/html/].	+	The SLIM library can be downloaded from [http://www-users.cs.umn.edu/~xning/slim/html/ here].

@@ Line 5: / Line 5: @@
 == Literature ==
-SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011[http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067]
+[http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067 SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011]
 == External links ==
-* SLIM software[http://www-users.cs.umn.edu/~xning/slim/html/]
+* [http://www-users.cs.umn.edu/~xning/slim/html/ SLIM software]
 [[Category:Software]]

@@ Line 5: / Line 5: @@
 == Literature ==
-[SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011][http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067]
+SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011[http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067]
 == External links ==
-* [SLIM][http://www-users.cs.umn.edu/~xning/slim/html/]
+* SLIM software[http://www-users.cs.umn.edu/~xning/slim/html/]
 [[Category:Software]]

← Older revision		Revision as of 22:02, 3 April 2013
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	The SLIM library can be downloaded from here[http://www-users.cs.umn.edu/~xning/slim/html/].		The SLIM library can be downloaded from here[http://www-users.cs.umn.edu/~xning/slim/html/].
		+
		+
		+	== Literature ==
		+	[SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011][http://dl.acm.org/ft_gateway.cfm?id=2365983&ftid=1284755&dwn=1&CFID=291662235&CFTOKEN=92204067]
		+
		+	== External links ==
		+	* [SLIM][http://www-users.cs.umn.edu/~xning/slim/html/]
		+

	[[Category:Software]]		[[Category:Software]]

← Older revision		Revision as of 21:59, 3 April 2013
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	The SLIM library can be downloaded from here[http://www-users.cs.umn.edu/~xning/slim/html/].		The SLIM library can be downloaded from here[http://www-users.cs.umn.edu/~xning/slim/html/].
		+
		+	[[Category:Software]]