[jira] Updated: (MAHOUT-362) Computation of pairwise cosine similarities for Item-Based Collaborative Filtering

["Sebastian Schelter (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MAHOUT-362?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sebastian Schelter updated MAHOUT-362:
--------------------------------------

    Status: Patch Available  (was: Open)

> Computation of pairwise cosine similarities for Item-Based Collaborative Filtering
> ----------------------------------------------------------------------------------
>
>                 Key: MAHOUT-362
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-362
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>            Reporter: Sebastian Schelter
>
> Provides a map/reduce job to precompute the pairwise cosine similarities between the item vectors of the user-item-matrix.  
> The code uses a slightly modified version of the algorithm suggested in "Elsayed et al: Pairwise Document Similarity in Large Collections with MapReduce" (http://www.umiacs.umd.edu/~jimmylin/publications/Elsayed_etal_ACL2008_short.pdf)

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