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https://issues.apache.org/jira/browse/MAHOUT-1445?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Pavan Kumar N updated MAHOUT-1445:
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Labels: documentation recommender (was: )
Affects Version/s: 1.0
Status: Patch Available (was: Open)
How does an item-based recommender work?
In item-based recommender engines, if a user like an item A then the same item
can be recommended to other users who are similar to the user who likes item A.
How to obtain similar users/similarity between users?
Similar users can be obtained by using profile-based information about the
user—for example cluster the users based on their attributes, such as age,
gender, geographic location, net worth, and so on. Alternatively, you can find
similar users using a collaborative-based approach by analyzing the users’
actions and users’ historical ratings and reviews.
What is the high level logic?
For every item ‘i’ that user ‘u’ has no preference for yet & for every other
user ‘v’ that has preference for item ‘i’,
Compute the similarity between u and
v thereby incorporate user ‘v’ preference for item ‘i’ by a weight ’s’ into a
running average.
Return the top items, ranked by weighted average.
> Create an intro for item based recommender
> ------------------------------------------
>
> Key: MAHOUT-1445
> URL: https://issues.apache.org/jira/browse/MAHOUT-1445
> Project: Mahout
> Issue Type: New Feature
> Components: Documentation
> Affects Versions: 1.0
> Reporter: Maciej Mazur
> Labels: documentation, recommender
> Fix For: 1.0
>
>
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