jay vyas created BIGTOP-1272:
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Summary: 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
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 or 2 products
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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