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https://issues.apache.org/jira/browse/MAHOUT-103?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=12683516#action_12683516
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Ted Dunning commented on MAHOUT-103:
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Hmmm.... I actually think of a click as the relation that connects a user to an
item. As such, it is distinct from either.
And I routinely do recommendation like computations that involve users, network
entities, query terms, documents, and other things that you would call users as
they relate (by abstract clicks) to users, query terms, videos, music, web
pages, network entities, words, query terms and other things that you would
call items.
There is a horrible tension here between naming things by their most common
usage and expecting programmers to realize that they really are abstract
entities or naming things in a total abstract way and risking that no
programmers ever catch on. An example of an abstract naming that derives from
linguistic terminology might be Agent (instead of User), Relation (instead of
Click) and Target (instead of Item). This makes the general interaction be
Relation \subsetof Agent x Target. I wouldn't recommend this, however, because
(as you say) people generally describe social algorithms in excessively
concrete ways.
> Co-occurence based nearest neighbourhood
> ----------------------------------------
>
> Key: MAHOUT-103
> URL: https://issues.apache.org/jira/browse/MAHOUT-103
> Project: Mahout
> Issue Type: New Feature
> Components: Collaborative Filtering
> Reporter: Ankur
> Assignee: Ankur
> Attachments: jira-103.patch
>
>
> Nearest neighborhood type queries for users/items can be answered efficiently
> and effectively by analyzing the co-occurrence model of a user/item w.r.t
> another. This patch aims at providing an implementation for answering such
> queries based upon simple co-occurrence counts.
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