[
https://issues.apache.org/jira/browse/MAHOUT-382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Sean Owen resolved MAHOUT-382.
------------------------------
Assignee: Sean Owen
Fix Version/s: 0.3
(was: 0.4)
Resolution: Not A Problem
I believe the discussion in MAHOUT-381 applies here too. You're right that the
framework could be used for any such use cases. The naming in the code is
intentional, to make it more intuitive and match literature.
> implement other recommendation
> ------------------------------
>
> Key: MAHOUT-382
> URL: https://issues.apache.org/jira/browse/MAHOUT-382
> Project: Mahout
> Issue Type: Wish
> Components: Collaborative Filtering
> Affects Versions: 0.4
> Reporter: Hui Wen Han
> Assignee: Sean Owen
> Fix For: 0.3
>
>
> I think that recommendation has four types:
> 1) recommend user with item (use case:content subscriber, generate the more
> interesting content for user )
> 2) recommend item to user (use case :advertisement pushing ,push the
> advertisement to the people that is interested with)
> 3) recommend item to item (use case; related content)
> 4) recommend user to user (use case : people connection )
>
> now org.apache.mahout.cf.taste.hadoop.item can recommend user with item,also
> can recommend item to user .
> we have no off-line implement for 3) and 4). although we already implement
> the code in 1) and 2).
--
This message is automatically generated by JIRA.
-
You can reply to this email to add a comment to the issue online.
