Difference between revisions of "SLIM"
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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/]. | ||
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| + | == 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] | ||
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| + | == External links == | ||
| + | * [SLIM][http://www-users.cs.umn.edu/~xning/slim/html/] | ||
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[[Category:Software]] | [[Category:Software]] | ||
Revision as of 17:02, 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][4]
