RecSysWiki - User contributions [en]

SLIM

2013-04-03T22:05:31Z

Ningx005:

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].

== 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]

== External links ==
* [http://www-users.cs.umn.edu/~xning/slim/html/ SLIM software]

[[Category:Software]]

SLIM

2013-04-03T22:04:15Z

Ningx005:

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/].

== 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]

== External links ==
* [http://www-users.cs.umn.edu/~xning/slim/html/ SLIM software]

[[Category:Software]]

SLIM

2013-04-03T22:03:03Z

Ningx005:

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/].

== 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 software[http://www-users.cs.umn.edu/~xning/slim/html/]

[[Category:Software]]

SLIM

2013-04-03T22:02:34Z

Ningx005:

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/].

== 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]]

SLIM

2013-04-03T21:59:24Z

Ningx005:

SLIM

2013-04-03T19:29:30Z

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 ..."