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From "Sean Owen (JIRA)" <j...@apache.org>
Subject [jira] Updated: (MAHOUT-115) Interpolated Knn and SVD Recommender
Date Sat, 11 Apr 2009 11:20:15 GMT

     [ https://issues.apache.org/jira/browse/MAHOUT-115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sean Owen updated MAHOUT-115:
-----------------------------

    Attachment: KNNandSVD.patch

Here's my patch in reply. The changes are mostly:
- Reformatting and changes to javadoc, including copyright header
- Removed debug/dead code
- A few initial micro-optimizations to loops from IntelliJ

The two substantive questions/changes outstanding are:
- I removed the bits of code that assume the pref value must be in the range 1 to 5, since
that's not generally true. Does this break other assumptions?
- Why is Knn an item-based recommender? actually it looks like an item-based recommender with
another recommender bolted on the side... at first glance it looks like should just be a "Recommender"
and then I can scrape out a lot of what was copied from GenericItemBasedRecommender

> Interpolated Knn and SVD Recommender
> ------------------------------------
>
>                 Key: MAHOUT-115
>                 URL: https://issues.apache.org/jira/browse/MAHOUT-115
>             Project: Mahout
>          Issue Type: New Feature
>          Components: Collaborative Filtering
>            Reporter: Andre Panisson
>            Assignee: Sean Owen
>         Attachments: KNNandSVD.patch, mahout.patch
>
>
> Item based recommender implementation that uses K-nearest neighbors with interpolated
weights, based on the paper of Robert M. Bell and Yehuda Koren
> in ICDM '07.
> Recommender implementation that uses Single Value Decomposition to capture the features
of a DataSet.

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