[jira] [Commented] (BIGTOP-1272) BigPetStore: Productionize the Mahout recommender

["jay vyas (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/BIGTOP-1272?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14008180#comment-14008180 ] 

jay vyas commented on BIGTOP-1272:
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Gating this on BIGTOP-1269 which cleans the build up.  After wards we will have to surgically put some careful "hacks" into bigpetstore to support mahout 2x.

> BigPetStore: Productionize the Mahout recommender
> -------------------------------------------------
>
>                 Key: BIGTOP-1272
>                 URL: https://issues.apache.org/jira/browse/BIGTOP-1272
>             Project: Bigtop
>          Issue Type: New Feature
>          Components: Blueprints
>    Affects Versions: backlog
>            Reporter: jay vyas
>
> BIGTOP-1271 adds patterns into the data that gaurantee that a meaningfull type of product recommendation can be given for at least *some* customers, since we know that there are going to be many customers who only bought 1 product, and also customers that bought 2 or more products -- even in a dataset size of 10. due to the gaussian distribution of purchases that is also in the dataset generator. 
> The current mahout recommender code is statically valid: It runs to completion in local unit tests if a hadoop 1x tarball is present but otherwise it hasn't been tested at scale.  So, lets get it working.  this JIRA also will comprise:
> - deciding wether to use mahout 2x for unit tests (default on mahout maven repo is the 1x impl) and wether or not bigtop should host a mahout 2x jar?  After all, bigtop builds a mahout 2x jar as part of its packaging process, and BigPetStore might thus need a mahout 2x jar in order to test against the right same of bigtop releases.



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