Difference between revisions of "SLIM"
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== Literature == | == 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 == | == External links == | ||
| − | * | + | * SLIM software[http://www-users.cs.umn.edu/~xning/slim/html/] |
[[Category:Software]] | [[Category:Software]] | ||
Revision as of 17:03, 3 April 2013
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][1], 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[2].
Literature
SLIM: Sparse Linear Methods for Top-N Recommender Systems, Xia Ning and George Karypis, ICDM , 2011[3]
External links
- SLIM software[4]
