Alberto,

Hope your testing is coming along well. Feel free to post your progress to
the list!

David

On Wed, Jul 28, 2010 at 5:02 PM, Alberto Perdomo
<[email protected]>wrote:

> Hi David,
>
>
> > But then you need to store the result. You can store these metrics as
> > relationships in neo4j, and then just update them for each user when
> > you recompute. You can find the user nodes via indexing. Maybe it's
> > acceptable that some metrics are out of date, so you can just
> > background process them continuously.
>
> I already have background processes that go through all users and
> calculate new new pairs. But then in order to do that I do need to
> exclude the pairs I already have... because it would be silly and as
> the relationship density grows the probablity of calculating a pair
> again would be higher and higher...
> Would I be able to do that kind of query using indexing?
>
> > Depending on your scenario, if your users know each other, it might be
> > interesting to start computing in a foaf style order (breadth first).
> > Remember, the power is in the relationships. Isolated nodes are not
> > interesting.
>
> You mean I look first for possible pairs with users that are friends
> of friends instead of randomly? We are also interesting in storing
> friendship relationship so that sounds interesting.
> That would be a different type of query: Traverse the graph from node
> A to nodes which are friends of friends of A and have no match
> relationship with A. I guess that is not difficult to implement using
> Neo4j?
>
> Thanks for your input David!
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