1. Bigtop
  2. BIGTOP-1272

BigPetStore: Productionize the Mahout recommender


    • Type: New Feature New Feature
    • Status: Resolved
    • Priority: Major Major
    • Resolution: Fixed
    • Affects Version/s: backlog
    • Fix Version/s: 0.8.0
    • Component/s: blueprints
    • Labels:


      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.
      1. arch.jpeg
        161 kB
        jay vyas
      2. BIGTOP-1272.patch
        140 kB
        bhashit parikh
      3. BIGTOP-1272.patch
        137 kB
        bhashit parikh
      4. BIGTOP-1272.patch
        148 kB
        bhashit parikh
      5. BIGTOP-1272.patch
        135 kB
        bhashit parikh
      6. BIGTOP-1272.patch
        124 kB
        bhashit parikh
      7. BIGTOP-1272.patch
        124 kB
        bhashit parikh
      8. build.gradle
        9 kB
        bhashit parikh

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            • Assignee:
              jay vyas
              jay vyas
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