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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] Commented: (MAHOUT-362) Computation of pairwise cosine similarities for Item-Based Collaborative Filtering
Date Mon, 05 Apr 2010 05:45:27 GMT

    [ https://issues.apache.org/jira/browse/MAHOUT-362?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12853312#action_12853312
] 

Sean Owen commented on MAHOUT-362:
----------------------------------

Agree, I'm taking a first pass to unify this with the recommender stuff first. Then that should
make it somewhat easier and clearer to think about refactoring up further.

> 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
>         Attachments: MAHOUT-362.patch
>
>
> 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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