You are viewing a plain text version of this content. The canonical link for it is here.
Posted to dev@mahout.apache.org by "Hui Wen Han (JIRA)" <ji...@apache.org> on 2010/04/19 18:51:50 UTC
[jira] Created: (MAHOUT-382) implement other recommendation
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
Fix For: 0.4
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.
[jira] Commented: (MAHOUT-382) implement other recommendation
Posted by "Jake Mannix (JIRA)" <ji...@apache.org>.
[ https://issues.apache.org/jira/browse/MAHOUT-382?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12858601#action_12858601 ]
Jake Mannix commented on MAHOUT-382:
------------------------------------
For 3) and 4), is there not methods currently like getSimilarUsers() in the recommenders?
> 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.
[jira] Resolved: (MAHOUT-382) implement other recommendation
Posted by "Sean Owen (JIRA)" <ji...@apache.org>.
[ 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.