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The communication is bidirectional: Conceptually, you can imagine a match engine instance "slaved" to the core dataset much as a My SQL instance is slaved to another server.
When a user changes their matchable data (say, by liking something) a monotonically increasing change# is updated in the user record.
This architecture makes it possible to scale Similarity to tens of millions of users almost entirely unattended.
Google App Engine will scale the Core to as many appserver instances as necessary to service load; the GAE datastore provides constant performance for effectively unlimited data; the match engine will replicate itself to as many instances as necessary to maintain performance.
It knows how to compare specific users and provide a match score.
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