RJ Nowling created BIGTOP-1537:
----------------------------------
Summary: Add BigPetStore Spark Item Recommender example
Key: BIGTOP-1537
URL: https://issues.apache.org/jira/browse/BIGTOP-1537
Project: Bigtop
Issue Type: Improvement
Reporter: RJ Nowling
We should add an example for using Spark and MLlib to build an item recommender.
Two challenges:
1. The data generator does not generate user product ratings. We need a way to
provide a metric for the "strength" of an interaction between a user and
product. This could be the normalized purchase frequency for each product.
Further evaluation is needed.
2. How to evaluate the recommendations. We will want to divide the user data
into 2 groups: validation and training. For the validation group, we may want
to drop certain products and see if the recommender fills in those products or
something similar.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
